{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":551,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":551,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"074ffc14b4a8","filters":{"topic":"Seismology and Earthquake Studies"}},"results":[{"id":"W3033652307","doi":"10.1177/8755293020919419","title":"The promise of implementing machine learning in earthquake engineering: A state‐of‐the‐art review","year":2020,"lang":"en","type":"review","venue":"Earthquake Spectra","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":470,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Variety (cybernetics); Identification (biology); Computer science; Earthquake engineering; Field (mathematics); Categorization; Engineering; Resource (disambiguation); Scale (ratio); Data science; Artificial intelligence; Risk analysis (engineering); Construction engineering; Systems engineering; Geography","authors":[{"name":"Yazhou Xie","is_ca":true},{"name":"Majid Ebad Sichani","is_ca":false},{"name":"Jamie E. Padgett","is_ca":false},{"name":"Reginald DesRoches","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01976695112840622,"gpt":0.2657427235979526,"spread":0.2459757724695464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140221,0.0007328014,0.001226646,0.003106916,0.0003139407,0.001419781,0.000963517,0.001406763,0.003368256],"category_scores_gemma":[0.003170987,0.0003760642,0.0007912849,0.004201446,0.0005066613,0.002156688,0.000679756,0.001457892,0.001189973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385531,"about_ca_system_score_gemma":0.002096945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484163,"about_ca_topic_score_gemma":0.002337097,"domain_scores_codex":[0.9995023,0.0001191983,0.0000764084,0.00009092693,0.0001807132,0.0000304396],"domain_scores_gemma":[0.9970406,0.002266688,0.0001612688,0.00005388024,0.0004122206,0.00006536007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003097296,0.00005848893,0.0002626154,0.05059556,0.0001546629,0.0001075564,0.0001121028,0.001021272,0.0007256301,0.01091222,0.01899394,0.917025],"study_design_scores_gemma":[0.0000121109,0.0001305582,0.001090342,0.01957628,0.0003828272,0.0004955837,0.0001417911,0.0006048957,0.0005608482,0.006582185,0.9703809,0.00004166087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001346526,0.9976518,0.0004424954,0.0005238881,0.0002221444,0.000007222912,0.00001826347,0.000008357848,0.000991278],"genre_scores_gemma":[0.0007886083,0.9983549,0.0003479833,0.0001958987,0.0001384522,0.00000657155,0.00001658285,0.000002107657,0.0001488861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003368256,"threshold_uncertainty_score":0.01126796,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972651431","doi":"10.1785/0220190052","title":"Rapid Earthquake Association and Location","year":2019,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":252,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Seismology; Geology; Earthquake location; Sequence (biology); Grid; Event (particle physics); Point (geometry); Induced seismicity; Geodesy; Mathematics","authors":[{"name":"Miao Zhang","is_ca":true},{"name":"William L. Ellsworth","is_ca":false},{"name":"Gregory C. Beroza","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04851863680888381,"gpt":0.30351413551926,"spread":0.2549954987103762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001129552,0.0008987371,0.0009120887,0.004150944,0.0005996395,0.001613633,0.001663996,0.0008603873,0.005910548],"category_scores_gemma":[0.007304738,0.0005489044,0.0006643603,0.002773935,0.000624904,0.001804112,0.002323478,0.0008742932,0.003885381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493998,"about_ca_system_score_gemma":0.001095268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506021,"about_ca_topic_score_gemma":0.003573273,"domain_scores_codex":[0.9983359,0.0002624166,0.000128804,0.0006035146,0.0005153629,0.0001541131],"domain_scores_gemma":[0.9962202,0.0007226235,0.0008625879,0.0008302708,0.0011778,0.0001865744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004174882,0.0001310818,0.05047921,0.0004292889,0.0001291504,0.000372372,0.0004732791,0.07526842,0.02307625,0.01731907,0.0161736,0.8157307],"study_design_scores_gemma":[0.0001110891,0.0002707806,0.04297588,0.0001049583,0.0001080733,0.001481073,0.0004390561,0.8399176,0.02983965,0.02432287,0.06021513,0.000213842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04506705,0.0004038289,0.9431139,0.0001850905,0.0001954992,0.0001840286,0.00114862,0.004577707,0.005124311],"genre_scores_gemma":[0.356211,0.0002724787,0.6318316,0.00008159618,0.0001762321,0.0001892576,0.003310472,0.0004962119,0.007431164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005910548,"threshold_uncertainty_score":0.01977277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2297444081","doi":"10.1190/geo2014-0500.1","title":"A review and appraisal of arrival-time picking methods for downhole microseismic data","year":2016,"lang":"en","type":"review","venue":"Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":205,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Akaike information criterion; Computer science; Algorithm; Noise (video); Data set; Data mining; Seismology; Geology; Artificial intelligence; Machine learning","authors":[{"name":"Jubran Akram","is_ca":true},{"name":"David W. Eaton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08865143792317924,"gpt":0.4372668654617607,"spread":0.3486154275385815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00783209,0.001585416,0.002875791,0.008455188,0.0005768168,0.002459547,0.003931658,0.001824573,0.001662902],"category_scores_gemma":[0.01886013,0.001279127,0.002016425,0.008981867,0.001326349,0.002825697,0.001047997,0.001711799,0.001213618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272425,"about_ca_system_score_gemma":0.002603973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812508,"about_ca_topic_score_gemma":0.002562612,"domain_scores_codex":[0.9963992,0.0008992709,0.0007257538,0.0006056312,0.001278923,0.00009128502],"domain_scores_gemma":[0.9770458,0.01432309,0.001356281,0.0006962213,0.006302992,0.0002755236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001159945,0.00007435875,0.001527597,0.02253895,0.0003420372,0.0001224987,0.0002300786,0.004958692,0.002997405,0.00568053,0.006769196,0.9546425],"study_design_scores_gemma":[0.000103823,0.000821127,0.01805061,0.04416896,0.001852607,0.002831793,0.0007382046,0.0520032,0.02018936,0.01419565,0.8444536,0.0005909964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001728885,0.9394431,0.05582043,0.0005307658,0.0006257219,0.0001194793,0.0001243769,0.0001689986,0.001438297],"genre_scores_gemma":[0.01476081,0.8798076,0.1022221,0.0004216051,0.001075239,0.000204819,0.0003672137,0.0001972353,0.0009433768],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008455188,"threshold_uncertainty_score":0.04142058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220811308","doi":"10.1785/0220220019","title":"LOC-FLOW: An End-to-End Machine Learning-Based High-Precision Earthquake Location Workflow","year":2022,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":161,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Earthquake location; Workflow; Computer science; Relocation; Generalization; Flow (mathematics); Sequence (biology); Seismology; Induced seismicity; Geology; Real-time computing; Database; Mathematics","authors":[{"name":"Miao Zhang","is_ca":true},{"name":"Min Liu","is_ca":true},{"name":"Tian Feng","is_ca":true},{"name":"Ruijia Wang","is_ca":false},{"name":"Weiqiang Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05305829111248674,"gpt":0.3152498000027689,"spread":0.2621915088902822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00391061,0.002985536,0.001222575,0.002338021,0.0009340788,0.002546529,0.005185972,0.00167365,0.02299382],"category_scores_gemma":[0.009678083,0.001698678,0.002251382,0.001304806,0.001064872,0.002862144,0.00317489,0.002629687,0.01645358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291113,"about_ca_system_score_gemma":0.002322344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004979751,"about_ca_topic_score_gemma":0.003395312,"domain_scores_codex":[0.9980481,0.0002816483,0.0002099052,0.0006786032,0.0006491573,0.0001326264],"domain_scores_gemma":[0.9947671,0.002222883,0.0003744118,0.001078658,0.001206798,0.000350169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001725835,0.0007783198,0.004698124,0.000852262,0.0003058483,0.001065411,0.000856773,0.123073,0.02852132,0.02113962,0.1993954,0.617588],"study_design_scores_gemma":[0.0004177274,0.0001520853,0.001320959,0.0000981445,0.00004315429,0.0002022324,0.00007905605,0.8504221,0.0487943,0.02804103,0.07023281,0.0001964678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001360782,0.0000291491,0.8098448,0.0001062373,0.00004576377,0.000173607,0.001835237,0.185665,0.0009394183],"genre_scores_gemma":[0.04602584,0.0000967986,0.9081516,0.0004562687,0.00007865701,0.0009635554,0.01402737,0.02395679,0.006243202],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02299382,"threshold_uncertainty_score":0.07692206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005579381","doi":"10.1029/2019gl086189","title":"Rapid Characterization of the July 2019 Ridgecrest, California, Earthquake Sequence From Raw Seismic Data Using Machine‐Learning Phase Picker","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Earthquake Administration; National Natural Science Foundation of China","keywords":"Aftershock; Seismology; Sequence (biology); Foreshock; Geology; Workflow; Earthquake simulation; Earthquake location; Remotely triggered earthquakes; Earthquake prediction; Artificial neural network; Seismic gap; Computer science; Fault (geology); Artificial intelligence; Induced seismicity; Database","authors":[{"name":"Min Liu","is_ca":true},{"name":"Miao Zhang","is_ca":true},{"name":"Weiqiang Zhu","is_ca":false},{"name":"William L. Ellsworth","is_ca":false},{"name":"Hongyi Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1272702395987289,"gpt":0.3366573055369175,"spread":0.2093870659381886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004201981,0.0003105726,0.000242885,0.002163604,0.0002178483,0.000409129,0.000371969,0.0002081479,0.001122059],"category_scores_gemma":[0.001275435,0.0001834928,0.0001446169,0.0009686886,0.0001274007,0.0003674869,0.0003753876,0.000240528,0.0007448934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552267,"about_ca_system_score_gemma":0.0006608738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331924,"about_ca_topic_score_gemma":0.04515113,"domain_scores_codex":[0.9998616,0.0000127881,0.00001022046,0.00004762043,0.00005228101,0.00001536156],"domain_scores_gemma":[0.999238,0.0001245506,0.0001612108,0.0001343232,0.000255353,0.0000866216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003893179,0.0002840165,0.4440826,0.0001961223,0.0001173196,0.0006207314,0.0005058431,0.05456158,0.06285217,0.0009574037,0.02181192,0.4136209],"study_design_scores_gemma":[0.00005125768,0.0001176392,0.4421977,0.00003332257,0.00003738024,0.0002111912,0.0002572213,0.5247629,0.02172944,0.0008933213,0.009665221,0.00004331942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035536,0.0002626023,0.07335883,0.0002066537,0.00005300205,0.0001621612,0.01099083,0.007523058,0.00388922],"genre_scores_gemma":[0.8855519,0.0001081919,0.09852779,0.00003368845,0.00003755158,0.00005766628,0.01409728,0.0001770594,0.00140892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01331924,"threshold_uncertainty_score":0.02648348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2282264169","doi":"10.1093/gji/ggv419","title":"Comparison of the STA/LTA and power spectral density methods for microseismic event detection","year":2015,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Microseismic Industry Consortium","keywords":"Geophone; Microseism; Event (particle physics); Computer science; Spectral density; Term (time); Filter (signal processing); Data mining; Pattern recognition (psychology); Algorithm; Geology; Artificial intelligence; Seismology; Computer vision; Physics; Telecommunications","authors":[{"name":"Yoones Vaezi","is_ca":true},{"name":"Mirko van der Baan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03839265672517489,"gpt":0.3796254407431983,"spread":0.3412327840180234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004749974,0.001132909,0.0007360227,0.00519437,0.0004437605,0.001210347,0.001263347,0.00123902,0.002532711],"category_scores_gemma":[0.01262856,0.0004238118,0.0009615889,0.002670471,0.0004656161,0.001947409,0.0009545225,0.0008921301,0.001730978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401585,"about_ca_system_score_gemma":0.0007385433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106924,"about_ca_topic_score_gemma":0.005289639,"domain_scores_codex":[0.9975471,0.0007281663,0.0002018401,0.0003146169,0.001090679,0.0001175841],"domain_scores_gemma":[0.98668,0.007898235,0.0007184217,0.001061382,0.003333133,0.0003088627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001397432,0.0003514349,0.01824356,0.0005959581,0.000560346,0.000138309,0.0002777249,0.04146544,0.0362782,0.003883971,0.004127402,0.8926803],"study_design_scores_gemma":[0.000122942,0.0005856541,0.03436662,0.00005668059,0.0001941226,0.0006029939,0.0002628227,0.9260768,0.02849101,0.002902741,0.006176338,0.0001612618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08973459,0.002431812,0.8985852,0.0002815062,0.0002696001,0.0001531057,0.000662873,0.004517482,0.003363879],"genre_scores_gemma":[0.3267053,0.001238417,0.6670273,0.0001248455,0.0001950441,0.0002017662,0.001156824,0.0005584945,0.002791984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00519437,"threshold_uncertainty_score":0.02512056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970419158","doi":"10.1190/geo2018-0688.1","title":"First-arrival picking with a U-net convolutional network","year":2019,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Petro-Canada","funders":"","keywords":"Computer science; Data set; Workflow; Data mining; Noise (video); Data quality; Segmentation; Set (abstract data type); Deep learning; Convolutional neural network; Artificial intelligence; Algorithm; Database","authors":[{"name":"Lianlian Hu","is_ca":true},{"name":"Xiaodong Zheng","is_ca":true},{"name":"Yanting Duan","is_ca":false},{"name":"Xinfei Yan","is_ca":true},{"name":"Ying Hu","is_ca":true},{"name":"Xiaole Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005658678815850473,"gpt":0.1764729940372108,"spread":0.1708143152213604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057336,0.0009161736,0.0005237248,0.0008252024,0.0004279518,0.0006379365,0.001343441,0.001033104,0.001749984],"category_scores_gemma":[0.0009134911,0.0004579718,0.0005358515,0.0006523724,0.0004404948,0.0009134331,0.0007299456,0.0008783935,0.0007170625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009574422,"about_ca_system_score_gemma":0.001129618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01867507,"about_ca_topic_score_gemma":0.02054806,"domain_scores_codex":[0.9998036,0.00002336233,0.000009174724,0.00007368701,0.00003681447,0.00005337087],"domain_scores_gemma":[0.9996141,0.0001260282,0.00004046015,0.00005693108,0.0001264754,0.00003590359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000643676,0.0003422436,0.003428231,0.00006274974,0.0001034866,0.0001946958,0.00006308028,0.4973714,0.03763426,0.002826219,0.004273066,0.4530569],"study_design_scores_gemma":[0.00000224725,0.00001984295,0.0001575107,0.000002437636,0.000004347281,0.000008085905,0.000002966737,0.9954486,0.003908194,0.0002772978,0.0001646464,0.00000369728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1628798,0.0005622003,0.8253118,0.0002903776,0.0001356027,0.00008778999,0.0003103884,0.007074409,0.003347589],"genre_scores_gemma":[0.7238355,0.0001642549,0.2687401,0.0002701216,0.00003685689,0.00006891404,0.0007278634,0.0001292624,0.006027125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01867507,"threshold_uncertainty_score":0.03713274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2730761802","doi":"10.1093/gji/ggx238","title":"Supervised machine learning on a network scale: application to seismic event classification and detection","year":2017,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Waveform; False alarm; Event (particle physics); Constant false alarm rate; Computer science; Scale (ratio); Artificial intelligence; Data mining; False positive rate; Sampling (signal processing); Pattern recognition (psychology); Seismology; Geology; Geography","authors":[{"name":"Andrew Reynen","is_ca":true},{"name":"Pascal Audet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01437948479481187,"gpt":0.2672439522893857,"spread":0.2528644674945739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552799,0.000665291,0.0008162786,0.00197377,0.0005216636,0.0008125536,0.0009136808,0.0007146305,0.001310837],"category_scores_gemma":[0.008027684,0.0002820905,0.0005546575,0.002119425,0.0006713648,0.001039264,0.0008841395,0.001012886,0.0004707485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603402,"about_ca_system_score_gemma":0.0006127128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002741818,"about_ca_topic_score_gemma":0.002105056,"domain_scores_codex":[0.9988812,0.0004315435,0.00007766691,0.0002346613,0.0003180576,0.00005689048],"domain_scores_gemma":[0.994489,0.0035968,0.0004606471,0.0006267459,0.0006942978,0.0001325711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001627352,0.0002450423,0.01304634,0.0001456763,0.0002145492,0.0003464888,0.0001836072,0.3014031,0.007093498,0.009264843,0.003865938,0.6640282],"study_design_scores_gemma":[0.00001036302,0.0000290377,0.00157235,0.000005601946,0.000008340415,0.00006110378,0.00001732415,0.9883207,0.001190573,0.007721487,0.001054582,0.000008534969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02102271,0.0001456443,0.9760789,0.0002010277,0.00004512092,0.00005821355,0.0001449541,0.001385762,0.0009176719],"genre_scores_gemma":[0.3611116,0.000168451,0.6361907,0.0000890116,0.0001677118,0.0002524825,0.0003909079,0.0001248743,0.001504235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002741818,"threshold_uncertainty_score":0.00821209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2342006272","doi":"10.1016/j.jvolgeores.2016.04.014","title":"Principal component analysis vs. self-organizing maps combined with hierarchical clustering for pattern recognition in volcano seismic spectra","year":2016,"lang":"en","type":"article","venue":"Journal of Volcanology and Geothermal Research","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Principal component analysis; Cluster analysis; Hierarchical clustering; Pattern recognition (psychology); Spectrogram; Volcano; Artificial intelligence; Computer science; Geology; Data set; A priori and a posteriori; Self-organizing map; Set (abstract data type); Data mining; Seismology","authors":[{"name":"K. Unglert","is_ca":true},{"name":"Valentina Radić","is_ca":true},{"name":"M. Jellinek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03482769413617868,"gpt":0.2893917758105673,"spread":0.2545640816743886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008213799,0.0004278492,0.0004616822,0.001878763,0.0003188769,0.0008258098,0.0003438535,0.0003258969,0.001827416],"category_scores_gemma":[0.002481939,0.0002141487,0.0006779414,0.001289078,0.0002531564,0.0008797492,0.0005225465,0.0004440245,0.0006553418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161338,"about_ca_system_score_gemma":0.0006086251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478318,"about_ca_topic_score_gemma":0.004162597,"domain_scores_codex":[0.9995531,0.0001936511,0.00003845044,0.00006928853,0.00009239206,0.00005309558],"domain_scores_gemma":[0.9989632,0.0005901984,0.00005468001,0.0001096837,0.0002304232,0.00005175346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009205136,0.0002420317,0.0056305,0.0002440603,0.0002444327,0.00007582058,0.0001659642,0.03975096,0.03023408,0.002914615,0.003668189,0.915909],"study_design_scores_gemma":[0.00003350227,0.0001282881,0.01417007,0.00001855253,0.0001645406,0.00008487607,0.0001354976,0.966629,0.01314892,0.004288381,0.001158558,0.00003974789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3770424,0.001309933,0.6135678,0.0003726713,0.0002113094,0.0001696527,0.0007808013,0.002903047,0.003642433],"genre_scores_gemma":[0.7627375,0.0005021825,0.2336488,0.00004416048,0.0001109568,0.0001167495,0.0008250867,0.0002597788,0.00175474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003478318,"threshold_uncertainty_score":0.006916165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033495728","doi":"10.1029/2020gl089394","title":"Real‐Time Earthquake Early Warning With Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Earthquake location; Warning system; Earthquake warning system; Earthquake simulation; Waveform; Seismic microzonation; Magnitude (astronomy); Earthquake prediction; Foreshock","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01493166805006457,"gpt":0.2654579676931105,"spread":0.2505262996430459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004382661,0.0006699031,0.0003072851,0.0005035455,0.0001851117,0.0002954387,0.0004280884,0.0005721865,0.0008443728],"category_scores_gemma":[0.001304999,0.0001835975,0.0002146181,0.0004118212,0.0002106003,0.0002224293,0.0004916424,0.0004839757,0.0002229453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223471,"about_ca_system_score_gemma":0.0004521137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716485,"about_ca_topic_score_gemma":0.01948401,"domain_scores_codex":[0.9998908,0.00002654251,0.000008136897,0.00002610043,0.00002434224,0.00002407334],"domain_scores_gemma":[0.9996477,0.0001465443,0.00004157291,0.00003512649,0.00008586467,0.00004308202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001057122,0.000788772,0.04191516,0.0001857111,0.0001618883,0.001439285,0.0002286283,0.6766065,0.02399467,0.0004303761,0.008422872,0.244769],"study_design_scores_gemma":[0.00003334353,0.00009485977,0.0110796,0.000005823908,0.00001368097,0.00003686124,0.00003376441,0.9839824,0.004041775,0.0002170337,0.0004485559,0.00001233574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793795,0.0003221104,0.01497388,0.0005560793,0.0001019645,0.00003225553,0.0004930094,0.002341354,0.001799974],"genre_scores_gemma":[0.9911917,0.00004717024,0.007393675,0.00004771853,0.00001449847,0.000009330969,0.0003496362,0.00002132461,0.000924864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716485,"threshold_uncertainty_score":0.03412992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2262288151","doi":"","title":"Citizens as Sensors for Natural Hazards: A VGI integration Workflow","year":2010,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Workflow; Natural hazard; Natural (archaeology); Geography; Geomatics; Citizen science; Cartography; Computer science; Environmental planning; Database; Archaeology; Meteorology","authors":[{"name":"Bertrand De Longueville","is_ca":false},{"name":"Gianluca Luraschi","is_ca":false},{"name":"P.C. Smits","is_ca":false},{"name":"Stephen Peedell","is_ca":false},{"name":"Tom De Groeve","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008390190358535728,"gpt":0.2456700978023346,"spread":0.2372799074437989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004106059,0.001476716,0.001615666,0.005410573,0.002572765,0.009900377,0.002989966,0.002108637,0.008932124],"category_scores_gemma":[0.004589646,0.00141823,0.003109406,0.006043831,0.001000074,0.005391623,0.006857618,0.001740091,0.007444288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829902,"about_ca_system_score_gemma":0.004551339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220715,"about_ca_topic_score_gemma":0.02375857,"domain_scores_codex":[0.9982252,0.0002509628,0.0002594451,0.0003934279,0.0006607565,0.0002102889],"domain_scores_gemma":[0.9982159,0.0003297731,0.0001216464,0.0006344243,0.0005048289,0.0001935285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003229839,0.0005487606,0.01402093,0.00112925,0.0004557371,0.00278454,0.008705455,0.03704283,0.01636084,0.1169272,0.1127509,0.6889506],"study_design_scores_gemma":[0.000112655,0.0001042797,0.008942671,0.000821559,0.0004186152,0.00098564,0.007447451,0.1694279,0.02336878,0.2080425,0.580045,0.0002829663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005815251,0.0003871748,0.9290916,0.001121237,0.0001003519,0.001327405,0.01031838,0.02519681,0.02664173],"genre_scores_gemma":[0.03771383,0.000797098,0.9289292,0.0002359604,0.00003648954,0.0005464354,0.01899945,0.002291802,0.01044978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02220715,"threshold_uncertainty_score":0.04415578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2935993889","doi":"10.1016/j.ijdrr.2019.101148","title":"How useful are earthquake early warnings? The case of the 2017 earthquakes in Mexico city","year":2019,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología; Swine Innovation Porc","keywords":"Seismology; Forensic engineering; Urban seismic risk; Earthquake scenario; Geography; Geology; Engineering; Seismic hazard","authors":[{"name":"Jaime Santos‐Reyes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0152391957375065,"gpt":0.2427471966703357,"spread":0.2275080009328292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906283,0.0003091649,0.0003061695,0.0007996121,0.002909242,0.002820084,0.0008261561,0.004042792,0.002212693],"category_scores_gemma":[0.009937525,0.0002128153,0.0001772296,0.001159061,0.001268898,0.001854856,0.001496272,0.00298483,0.0001573618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003529488,"about_ca_system_score_gemma":0.002249694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1927924,"about_ca_topic_score_gemma":0.2205477,"domain_scores_codex":[0.9993123,0.0003066934,0.00002358695,0.00004403102,0.00009128347,0.0002221731],"domain_scores_gemma":[0.9953706,0.002513823,0.0007588308,0.0001180716,0.0007024198,0.0005362993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001991133,0.001057732,0.4377517,0.0009613606,0.0006899573,0.05822776,0.05557007,0.05041925,0.005061265,0.07679133,0.1597465,0.151732],"study_design_scores_gemma":[0.0004973782,0.0006659377,0.3931036,0.0009761819,0.0008282948,0.00398721,0.380021,0.04923066,0.003084403,0.02127077,0.1460245,0.0003100736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519174,0.001834801,0.0006652573,0.1288784,0.0002527951,0.00003989491,0.0004732786,0.0000323732,0.01590592],"genre_scores_gemma":[0.9964576,0.0008413449,0.0003356119,0.0006920609,0.0001113196,0.000007614147,0.00006366353,0.000006850057,0.001483899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927924,"threshold_uncertainty_score":0.3833404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030157763","doi":"10.1016/j.cageo.2009.10.008","title":"Array processing of teleseismic body waves with the USArray","year":2010,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation; National Science Foundation","keywords":"Computer science; Residual; Algorithm; Stack (abstract data type); Amplitude; Stacking; Data processing; Geology; Aperture (computer memory); Function (biology); Normal moveout; SIGNAL (programming language); Seismology; Data mining; Acoustics; Database","authors":[{"name":"G. L. Pavlis","is_ca":false},{"name":"F. L. Vernon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00811069684945011,"gpt":0.2187415434442359,"spread":0.2106308465947857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002833512,0.0004085409,0.0003625716,0.0006063097,0.0003004616,0.0005297362,0.0003022985,0.0002742394,0.004167142],"category_scores_gemma":[0.001284736,0.0002140032,0.0002863439,0.0006981496,0.0001233854,0.0005532699,0.0007430193,0.0003004725,0.001564756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009756131,"about_ca_system_score_gemma":0.0003805633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000973005,"about_ca_topic_score_gemma":0.003138056,"domain_scores_codex":[0.999742,0.00006303423,0.00001659174,0.00005006272,0.00009882574,0.00002954028],"domain_scores_gemma":[0.9997148,0.00005783367,0.00002988571,0.0000476705,0.0001340247,0.00001565032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008876119,0.00007674014,0.002637787,0.0001400048,0.0000859857,0.000111945,0.0002228375,0.01768942,0.1653285,0.01029363,0.008574496,0.7939512],"study_design_scores_gemma":[0.0001119013,0.0007046401,0.01206476,0.00005986017,0.0001495983,0.0006951624,0.0002031157,0.7439972,0.1691878,0.006020223,0.06671254,0.00009334083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06490412,0.0006371703,0.9241377,0.0002608516,0.0001799575,0.00004264755,0.0003834147,0.002123401,0.007330922],"genre_scores_gemma":[0.2500686,0.0004868813,0.7378629,0.0001467967,0.0001824183,0.0001143107,0.001268146,0.0002814114,0.009588601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004167142,"threshold_uncertainty_score":0.01394045,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2270000162","doi":"10.14288/1.0052938","title":"Seismotectonics of British Columbia","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Seismotectonics; Geology; Seismology","authors":[{"name":"Garry C. Rogers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006101611403232842,"gpt":0.1632340044030285,"spread":0.1571323929997956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001005912,0.0004557126,0.0002022361,0.002293569,0.001322633,0.001525813,0.0006455357,0.0003116671,0.01509523],"category_scores_gemma":[0.000821076,0.0001697866,0.0001973022,0.004304558,0.0002506889,0.0004045744,0.0003545492,0.0004586973,0.002571123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01757242,"about_ca_system_score_gemma":0.01162612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783649,"about_ca_topic_score_gemma":0.9779002,"domain_scores_codex":[0.9998635,0.00001045143,0.000006770948,0.00002151823,0.0000631705,0.000034501],"domain_scores_gemma":[0.9997529,0.00001426957,0.0000124894,0.0000142406,0.0001792611,0.00002677367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001866678,0.00007976242,0.1182015,0.0005045158,0.00009600048,0.001116917,0.002007731,0.129411,0.004305388,0.1062065,0.3129062,0.3249779],"study_design_scores_gemma":[0.00004035786,0.00002867051,0.257131,0.0003403329,0.00005283397,0.0004745671,0.001580342,0.08946851,0.001002647,0.01241582,0.6373286,0.0001362143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2294174,0.006311602,0.0190949,0.003665834,0.000346774,0.0002669994,0.1114575,0.002330691,0.6271083],"genre_scores_gemma":[0.8074039,0.004969079,0.006178689,0.0001861231,0.00002358378,0.0001292344,0.02271448,0.0001867209,0.1582081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02163512,"threshold_uncertainty_score":0.1274974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411049700","doi":"10.1016/j.engstruct.2025.120721","title":"Machine learning in earthquake engineering: A review on recent progress and future trends in seismic performance evaluation and design","year":2025,"lang":"en","type":"review","venue":"Engineering Structures","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; National Science Fund for Distinguished Young Scholars; Instituto de Investigación de Recursos Biológicos Alexander von Humboldt; Alexander von Humboldt-Stiftung","keywords":"Earthquake engineering; Engineering; Seismic analysis; Construction engineering; Forensic engineering; Civil engineering; Computer science; Structural engineering","authors":[{"name":"Shuling Hu","is_ca":false},{"name":"Tong Guo","is_ca":false},{"name":"M. Shahria Alam","is_ca":true},{"name":"Yuji Koetaka","is_ca":false},{"name":"Elyas Ghafoori","is_ca":false},{"name":"Theodoros L. Karavasilis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02296657800403078,"gpt":0.2868697492487911,"spread":0.2639031712447603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357734,0.000971977,0.001495463,0.002890755,0.0002662354,0.001284208,0.0009086767,0.001266581,0.002958398],"category_scores_gemma":[0.002480374,0.0003920524,0.00072365,0.004847008,0.0005077535,0.00183163,0.0006615165,0.001279416,0.001434707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117643,"about_ca_system_score_gemma":0.00130918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248552,"about_ca_topic_score_gemma":0.001758086,"domain_scores_codex":[0.9995654,0.00009913497,0.00007185536,0.0000799216,0.0001599728,0.00002368174],"domain_scores_gemma":[0.9978831,0.001525735,0.0001417387,0.00004223771,0.0003585326,0.00004850675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004238405,0.00007031582,0.0003690179,0.0261273,0.0001152851,0.00008919679,0.00009123744,0.001681574,0.0009205432,0.006543064,0.0168922,0.9470579],"study_design_scores_gemma":[0.00001632724,0.0002506666,0.001643914,0.01149077,0.0002899726,0.0006103867,0.0001525832,0.00140486,0.0009435372,0.008252462,0.9748779,0.00006650911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002100064,0.9973476,0.001013225,0.0003257032,0.0001577803,0.000006450936,0.00002422708,0.00001199531,0.0009030796],"genre_scores_gemma":[0.001359024,0.9970078,0.000875004,0.0001383574,0.0002387073,0.000008686021,0.0000376231,0.000004001188,0.0003308439],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002958398,"threshold_uncertainty_score":0.009896815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307291243","doi":"10.1029/2022jb024401","title":"Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Los Alamos National Laboratory; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Computer science; Graph; Earthquake location; Artificial neural network; Convolutional neural network; Seismology; Earthquake simulation; Warning system; Earthquake prediction; Data mining; Artificial intelligence; Geology; Theoretical computer science; Induced seismicity","authors":[{"name":"Xitong Zhang","is_ca":false},{"name":"Will Reichard‐Flynn","is_ca":false},{"name":"Miao Zhang","is_ca":true},{"name":"Matthew Hirn","is_ca":false},{"name":"Youzuo Lin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04140411651029358,"gpt":0.3191178947058325,"spread":0.2777137781955389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654818,0.0006528408,0.0003013671,0.00102794,0.0002147632,0.0004375577,0.0007162706,0.0004487461,0.001256939],"category_scores_gemma":[0.001822923,0.0002786177,0.0004709241,0.001396107,0.0002880366,0.001101829,0.0004266223,0.0008261407,0.0002909245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159937,"about_ca_system_score_gemma":0.0007002102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02920401,"about_ca_topic_score_gemma":0.04062197,"domain_scores_codex":[0.9998648,0.00002190046,0.000009400642,0.0000505529,0.00003106251,0.00002217141],"domain_scores_gemma":[0.9995862,0.0001464149,0.00008500333,0.00006857414,0.00009343807,0.00002045078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00011039,0.00005364537,0.005904141,0.0001009662,0.0000951732,0.0001004984,0.00004801069,0.8321289,0.005128761,0.01347322,0.0044822,0.1383741],"study_design_scores_gemma":[0.000001500572,0.000005097085,0.0007829701,0.000003266141,0.00000760346,0.000008974262,0.000004395285,0.993144,0.000676164,0.004820711,0.000541915,0.000003380573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033744,0.001511132,0.8846461,0.0008619013,0.0001146502,0.0000480947,0.003251108,0.002807245,0.003385404],"genre_scores_gemma":[0.8827217,0.001092984,0.1082282,0.0001589547,0.0000677939,0.000050772,0.004126788,0.0001144007,0.003438544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02920401,"threshold_uncertainty_score":0.05806804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4324378502","doi":"10.3389/feart.2023.1103914","title":"DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion","year":2023,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Earthquake Administration; National Natural Science Foundation of China","keywords":"Focal mechanism; Computer science; Inversion (geology); Classifier (UML); Waveform; Artificial intelligence; Workflow; Geology; Seismology; Database","authors":[{"name":"Ming Zhao","is_ca":true},{"name":"Zhuowei Xiao","is_ca":false},{"name":"Miao Zhang","is_ca":true},{"name":"Yun Yang","is_ca":false},{"name":"Lin Tang","is_ca":false},{"name":"Shi Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0118782948712008,"gpt":0.226411042948949,"spread":0.2145327480777482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000426355,0.0009963803,0.0004045326,0.00096208,0.0003222125,0.0003977021,0.001119769,0.000786855,0.001643858],"category_scores_gemma":[0.0008779659,0.0002681342,0.0004245401,0.0006557391,0.0002495335,0.0007000126,0.0007842933,0.0009275418,0.0005672476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282681,"about_ca_system_score_gemma":0.001058433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019215,"about_ca_topic_score_gemma":0.01556034,"domain_scores_codex":[0.9998447,0.00001841232,0.000009447158,0.00005493554,0.00003633768,0.00003622651],"domain_scores_gemma":[0.9997938,0.00004889316,0.00002254184,0.00003553442,0.00007390698,0.00002533314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002315326,0.0002184293,0.009862743,0.0001087247,0.0001034932,0.0002289899,0.00008906733,0.1360125,0.02700216,0.00245699,0.01453718,0.8091481],"study_design_scores_gemma":[0.00001671706,0.00004478814,0.001217979,0.000007963,0.0000116034,0.00003756435,0.00002196557,0.9900836,0.005567254,0.001080408,0.001899976,0.00001009395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2188366,0.001697555,0.7595307,0.0006654838,0.000351012,0.0002537374,0.002005352,0.01077469,0.005884801],"genre_scores_gemma":[0.7379678,0.0005085421,0.2458984,0.0003629575,0.0001144149,0.0001340295,0.005841667,0.0002655424,0.008906647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01019215,"threshold_uncertainty_score":0.02026564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126311075","doi":"10.1190/1.3627522","title":"Akaike information criterion applied to detecting first arrival times on microseismic data","year":2011,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Microseismic Industry Consortium; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Microseism; Akaike information criterion; Geology; Seismology; Geophone; Induced seismicity; Noise (video); Computer science; Artificial intelligence; Machine learning","authors":[{"name":"Andy St‐Onge","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05396405769169121,"gpt":0.2384453160656296,"spread":0.1844812583739384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00515711,0.00118787,0.002148439,0.00353867,0.0009858777,0.001734987,0.001214688,0.001476186,0.00151552],"category_scores_gemma":[0.02524365,0.0005085475,0.0009993669,0.003263583,0.0009258831,0.001342074,0.0009559974,0.001520208,0.0009286436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000981198,"about_ca_system_score_gemma":0.002645854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008771435,"about_ca_topic_score_gemma":0.006483977,"domain_scores_codex":[0.9953681,0.001382412,0.000728899,0.0006008152,0.001720441,0.0001993305],"domain_scores_gemma":[0.9875172,0.007915724,0.0006728923,0.0005159594,0.003211119,0.0001671924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000898607,0.0002041204,0.009081055,0.0007693498,0.0006006096,0.0008851197,0.0003179114,0.5768501,0.01489392,0.03831369,0.005397363,0.3517882],"study_design_scores_gemma":[0.00001652144,0.0001061435,0.004234794,0.00005052886,0.00004580046,0.0001287226,0.00004489554,0.9706979,0.004771119,0.0175912,0.002242316,0.00007008095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01190725,0.0005446399,0.985642,0.00005451226,0.00004721239,0.00007801032,0.0001725366,0.0004663648,0.001087525],"genre_scores_gemma":[0.3357076,0.000709144,0.6599447,0.00008024767,0.0001120263,0.0005257929,0.0008467227,0.000192379,0.001881339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008771435,"threshold_uncertainty_score":0.02727377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035509585","doi":"10.1111/1467-985x.00275","title":"Communicating the Risks Arising from Geohazards","year":2003,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Environment Research Council; Trent University; British Geological Survey; Nottingham Trent University","keywords":"Geohazard; Terminology; Natural (archaeology); Process (computing); Common ground; Risk analysis (engineering); Outcome (game theory); Risk management; Business; Environmental planning; Environmental resource management; Computer science; Geography; Engineering; Psychology; Social psychology; Environmental science; Linguistics; Economics","authors":[{"name":"Michael Rosenbaum","is_ca":false},{"name":"M. G. Culshaw","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02795823199036485,"gpt":0.281206710272089,"spread":0.2532484782817241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02620226,0.0008260525,0.0006469166,0.001838455,0.002816904,0.009067776,0.001230976,0.004877403,0.01306318],"category_scores_gemma":[0.1214721,0.0004514884,0.0004445984,0.00122488,0.00287548,0.007747879,0.006964877,0.004629698,0.003126767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296925,"about_ca_system_score_gemma":0.003253006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213965,"about_ca_topic_score_gemma":0.0006749652,"domain_scores_codex":[0.9665654,0.02290114,0.002260569,0.0007565413,0.00646093,0.001055346],"domain_scores_gemma":[0.8191115,0.1402723,0.01925898,0.006497479,0.01231592,0.002543833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006406418,0.000286531,0.02651346,0.001488337,0.0002136276,0.003669651,0.06255119,0.008822843,0.003803109,0.2749679,0.2204547,0.396588],"study_design_scores_gemma":[0.000066237,0.0006091622,0.008878245,0.003441158,0.0002455444,0.003363749,0.04228203,0.01266946,0.006942333,0.4154986,0.5056815,0.0003218722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1634825,0.01694859,0.1217931,0.493217,0.006990999,0.0003665072,0.0009407107,0.0008102777,0.1954503],"genre_scores_gemma":[0.958606,0.006184808,0.01001065,0.007311606,0.00337206,0.0001430036,0.0002210755,0.00009371805,0.0140572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02620226,"threshold_uncertainty_score":0.1385725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018906199","doi":"10.1007/pl00001260","title":"Application of Kalman Filtering Techniques for Microseismic Event Detection","year":2002,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Read Jones Christoffersen (Canada)","funders":"","keywords":"Microseism; Geology; Induced seismicity; Seismology; Noise (video); Computer science; Artificial intelligence","authors":[{"name":"Erick Baziw","is_ca":true},{"name":"I. Weir-Jones","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009210111734874236,"gpt":0.2122532142366491,"spread":0.2030431025017749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005828959,0.0004025677,0.0004636406,0.0007103803,0.0003954796,0.0006011883,0.0003396515,0.0005428367,0.001385635],"category_scores_gemma":[0.002839191,0.0003439344,0.000387256,0.0006807522,0.0001837478,0.0007335973,0.0004865876,0.0004893023,0.0005173684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860441,"about_ca_system_score_gemma":0.0006170904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006852135,"about_ca_topic_score_gemma":0.007950128,"domain_scores_codex":[0.9997154,0.00005701836,0.0000249627,0.00006897169,0.0001038789,0.00002982562],"domain_scores_gemma":[0.999082,0.0005132168,0.00007272961,0.00008525217,0.0002277262,0.00001902124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002539554,0.00006787153,0.003684066,0.0001511045,0.0001512032,0.00008138247,0.0001574805,0.1515069,0.02194853,0.009758915,0.002106572,0.810132],"study_design_scores_gemma":[0.00001807778,0.00005064115,0.00276635,0.00001366468,0.00004795678,0.00007051643,0.00002375509,0.9797244,0.00955106,0.003961721,0.003747277,0.00002463439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01218855,0.0004885064,0.9857404,0.00008170919,0.00006503264,0.000009076704,0.00003971516,0.0005165663,0.000870457],"genre_scores_gemma":[0.5628996,0.001295095,0.4293424,0.00009473223,0.0001397386,0.00005654978,0.0002538642,0.0001480063,0.005770116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006852135,"threshold_uncertainty_score":0.01362449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985030813","doi":"10.1016/j.envhaz.2007.09.003","title":"Estimating willingness to pay for a hypothetical earthquake early warning systems","year":2007,"lang":"en","type":"article","venue":"Environmental Hazards","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Contingent valuation; Willingness to pay; Warning system; Metropolitan area; Business; Actuarial science; Order (exchange); Early warning system; Natural disaster; Valuation (finance); Public economics; Economics; Finance; Geography; Engineering","authors":[{"name":"Ali Asgary","is_ca":true},{"name":"Nader Mehregan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01119452655074055,"gpt":0.2370158895508162,"spread":0.2258213630000757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003381964,0.0003451355,0.0002985143,0.001055331,0.0003696057,0.001463237,0.0005168863,0.001176156,0.005840919],"category_scores_gemma":[0.02035358,0.0002497346,0.0005313329,0.0008258625,0.0003779248,0.0009943969,0.0005752573,0.000654744,0.0003065276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413208,"about_ca_system_score_gemma":0.0004462985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212419,"about_ca_topic_score_gemma":0.001433527,"domain_scores_codex":[0.9979458,0.001444126,0.00009987321,0.0001324063,0.0002298042,0.0001479144],"domain_scores_gemma":[0.9847972,0.01274835,0.001151577,0.0004428821,0.0005252791,0.0003347786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002574104,0.001367566,0.6668962,0.0002087914,0.0004395763,0.0009853904,0.001277158,0.2363786,0.004496565,0.02355837,0.001642248,0.06017549],"study_design_scores_gemma":[0.0001234001,0.002072409,0.2964078,0.00005985039,0.000166028,0.0003517532,0.004317733,0.6820694,0.002362868,0.01014739,0.0018274,0.0000939418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936095,0.00002341641,0.004231167,0.0001180902,0.000005918292,0.00006605805,0.0002018881,0.000009419617,0.001734553],"genre_scores_gemma":[0.9985057,0.000007980281,0.001189051,0.000007201329,0.000001862743,0.00003565901,0.00007909571,6.296071e-7,0.0001728145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005840919,"threshold_uncertainty_score":0.01953983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392316883","doi":"10.1093/gji/ggae049","title":"OBSTransformer: a deep-learning seismic phase picker for OBS data using automated labelling and transfer learning","year":2024,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Transfer of learning; Data set; Computer science; Artificial intelligence; Deep learning; Transfer (computing); Seismometer; Akaike information criterion; Machine learning; Seismology; Geology","authors":[{"name":"Alireza Niksejel","is_ca":true},{"name":"Miao Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04441088303570816,"gpt":0.3381167865633219,"spread":0.2937059035276137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314353,0.001423901,0.0006261963,0.00127059,0.000310043,0.000621005,0.001832668,0.001024967,0.003722409],"category_scores_gemma":[0.002362885,0.0004965395,0.0007903128,0.0008769497,0.000488854,0.001356827,0.001500668,0.001571444,0.002246201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006143654,"about_ca_system_score_gemma":0.001192793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007246911,"about_ca_topic_score_gemma":0.01304648,"domain_scores_codex":[0.9995922,0.00007068457,0.00002858591,0.0001396816,0.0001070638,0.00006180359],"domain_scores_gemma":[0.9992934,0.0001939001,0.00009583622,0.0001624194,0.0002073413,0.0000469181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004561203,0.0002539399,0.005504824,0.0001131274,0.0001378419,0.0001784341,0.0001051161,0.2189747,0.02467871,0.002066193,0.01993919,0.7275918],"study_design_scores_gemma":[0.00002698306,0.00006035195,0.0009611769,0.00000599335,0.00000896453,0.00002302195,0.000020692,0.9876481,0.008360305,0.001346407,0.001522326,0.00001570431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1176682,0.0003785546,0.8416107,0.0003091278,0.0001341068,0.0001699189,0.001925353,0.03551437,0.002289666],"genre_scores_gemma":[0.4989617,0.0001935596,0.4822596,0.0004322737,0.00008170575,0.0002750633,0.008051381,0.0009267888,0.008817796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007246911,"threshold_uncertainty_score":0.01440948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1490285519","doi":"","title":"Canada’s Earthquakes: ‘The Good, the Bad, and the Ugly’","year":2010,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Seismometer; Seismology; Geography; History; Humanities; Geology; Philosophy","authors":[{"name":"J. F. Cassidy","is_ca":true},{"name":"Garry C. Rogers","is_ca":true},{"name":"Maurice Lamontagne","is_ca":true},{"name":"S Halchuk","is_ca":true},{"name":"J Adams","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003231698743958948,"gpt":0.1646814993345405,"spread":0.1614498005905816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006524116,0.0006719381,0.0004229764,0.001730807,0.008043016,0.006202579,0.001065054,0.001161904,0.007259489],"category_scores_gemma":[0.003265321,0.0003520897,0.000325928,0.005550775,0.003461579,0.002021133,0.001741175,0.001933486,0.0007922944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04837833,"about_ca_system_score_gemma":0.1123204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941772,"about_ca_topic_score_gemma":0.997586,"domain_scores_codex":[0.9985616,0.00007423777,0.00005045649,0.0001279591,0.0008398812,0.0003458867],"domain_scores_gemma":[0.9976531,0.0001281408,0.0001807035,0.00006651241,0.00149069,0.0004809769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001583722,0.00003581751,0.05308738,0.001583259,0.0001345388,0.0006008298,0.01534245,0.0007950506,0.001467802,0.03411197,0.6026482,0.2900344],"study_design_scores_gemma":[0.00001071967,0.00002150891,0.1176099,0.0007466315,0.00006273593,0.0002410423,0.01317476,0.0002031115,0.0004310801,0.002110986,0.8652782,0.0001093941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1427791,0.2157272,0.009878702,0.2511666,0.008225848,0.0002191177,0.02971023,0.0009554986,0.3413377],"genre_scores_gemma":[0.6560438,0.1499277,0.007773716,0.03011301,0.001044438,0.00007015516,0.01051748,0.0004517899,0.1440579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04837833,"threshold_uncertainty_score":0.351011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012099328","doi":"10.1190/geo-2011-1114-spsein.1","title":"Microseismicity: Beyond dots in a box — Introduction","year":2011,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Geology; Seismology","authors":[{"name":"J. M. Kendall","is_ca":true},{"name":"Shawn Maxwell","is_ca":true},{"name":"G. R. Foulger","is_ca":true},{"name":"Leo Eisner","is_ca":true},{"name":"Zachary Lawrence","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01425684716986639,"gpt":0.1955916969841374,"spread":0.1813348498142711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009286724,0.00108363,0.001149855,0.002234922,0.0009635506,0.003910298,0.001856068,0.002081941,0.0262058],"category_scores_gemma":[0.004638359,0.0008003501,0.001022607,0.002582682,0.002776406,0.008633466,0.002277892,0.004246349,0.00936476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144889,"about_ca_system_score_gemma":0.0006032903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493341,"about_ca_topic_score_gemma":0.001576888,"domain_scores_codex":[0.9993377,0.000136686,0.00008321818,0.0002001169,0.0002033231,0.00003878943],"domain_scores_gemma":[0.9976052,0.001367223,0.0001178403,0.0002781239,0.0004909948,0.0001405643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005202004,0.00005646927,0.0006576913,0.001188432,0.00004479467,0.0002578994,0.0003505854,0.003049623,0.001416672,0.4865218,0.2655241,0.2408799],"study_design_scores_gemma":[0.000004031458,0.000051717,0.0005101891,0.000416396,0.00001354376,0.0003896683,0.0001525516,0.003225243,0.0004344035,0.1801395,0.8146182,0.00004446828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.004088725,0.258395,0.517782,0.02867202,0.07412952,0.0001857948,0.001492208,0.002951826,0.1123029],"genre_scores_gemma":[0.09898034,0.2917399,0.2899428,0.02105763,0.1324158,0.0005690164,0.002696797,0.006122833,0.156475],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0262058,"threshold_uncertainty_score":0.08766717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074086644","doi":"10.1002/2013eo220002","title":"Field Studies Target 2012 Haida Gwaii Earthquake","year":2013,"lang":"en","type":"article","venue":"Eos","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Geology; Archaeology; Mainland; Seismology; Queen (butterfly); National park; Aftershock; Oceanography; Geography","authors":[{"name":"T. S. James","is_ca":true},{"name":"Garry C. Rogers","is_ca":true},{"name":"J. F. Cassidy","is_ca":true},{"name":"H. Dragert","is_ca":true},{"name":"R. D. Hyndman","is_ca":true},{"name":"Lucinda J. Leonard","is_ca":true},{"name":"L. Nykolaishen","is_ca":true},{"name":"Michael Riedel","is_ca":true},{"name":"Michael Schmidt","is_ca":true},{"name":"Kelin Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02347008124774162,"gpt":0.2579599378700712,"spread":0.2344898566223296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002638441,0.0003351104,0.000226891,0.0005050438,0.002242571,0.0003125959,0.0005204346,0.0004540341,0.006329713],"category_scores_gemma":[0.000541734,0.0001823852,0.00007810991,0.0007078339,0.0003280174,0.0002891099,0.0004470115,0.0005658708,0.001778723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322099,"about_ca_system_score_gemma":0.001765893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1655786,"about_ca_topic_score_gemma":0.5277504,"domain_scores_codex":[0.9998658,0.0000148259,0.000005068224,0.00002622577,0.00003630228,0.00005168495],"domain_scores_gemma":[0.999622,0.00002250547,0.00001982982,0.00003253533,0.0001721472,0.0001309374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005249444,0.01027876,0.2666755,0.0009661837,0.00007985911,0.006376272,0.03781996,0.003218813,0.1007557,0.003156265,0.3192993,0.246124],"study_design_scores_gemma":[0.0002697257,0.001989195,0.9109336,0.00009077455,0.00002814635,0.0003842184,0.01660429,0.001181678,0.003971396,0.000236961,0.06426777,0.00004224506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467357,0.00008101465,0.0007292021,0.0003950658,0.00006287292,0.00146489,0.005943524,0.0002207265,0.04436694],"genre_scores_gemma":[0.96286,0.0002159384,0.002842046,0.0003121907,0.00005936676,0.001053824,0.007437684,0.00003147078,0.02518749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8344215,"threshold_uncertainty_score":0.3292295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805956766","doi":"10.1016/j.ijggc.2018.05.016","title":"Is CO2 injection at Aquistore aseismic? A combined seismological and geomechanical study of early injection operations","year":2018,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada; University of Saskatchewan; University of Alberta","funders":"Engineering and Physical Sciences Research Council; Natural Resources Canada; Petroleum Technology Research Centre; University of Bristol; Research Councils UK","keywords":"Geophone; Induced seismicity; Geology; Seismology; Microseism; Seismometer; Caprock; Passive seismic; Borehole; Injection well; Fracture (geology); Geotechnical engineering; Petroleum engineering","authors":[{"name":"A. Stork","is_ca":false},{"name":"C. Nixon","is_ca":true},{"name":"Chris Hawkes","is_ca":true},{"name":"Claire Birnie","is_ca":false},{"name":"Don White","is_ca":true},{"name":"Douglas R. Schmitt","is_ca":true},{"name":"B. R. Roberts","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01788821937374541,"gpt":0.265648610740884,"spread":0.2477603913671386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221477,0.0002437794,0.000232347,0.0009527135,0.000513539,0.0009087858,0.0003991828,0.0006011953,0.0007432601],"category_scores_gemma":[0.0008003035,0.0002042398,0.0001817077,0.001330713,0.0007294613,0.0008954338,0.0004137403,0.0003428869,0.0002144839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155106,"about_ca_system_score_gemma":0.0006659603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0277312,"about_ca_topic_score_gemma":0.03706727,"domain_scores_codex":[0.9996669,0.0000286447,0.00002326267,0.00007925524,0.0001240354,0.00007784907],"domain_scores_gemma":[0.9994001,0.00006490258,0.000258039,0.0000265425,0.0001816986,0.00006867144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008476778,0.0002270351,0.9090827,0.0001176979,0.00008561928,0.002995401,0.001456855,0.001995722,0.05190224,0.0009763739,0.0009139985,0.02939867],"study_design_scores_gemma":[0.000008452958,0.0001952858,0.9866489,0.00002341481,0.00001783106,0.0004724338,0.001510999,0.00293634,0.005460144,0.0002186706,0.002487443,0.00002001591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996273,0.0001358275,0.0001728411,0.0001309249,0.000006465469,0.000007419825,0.0001872222,0.00001154973,0.003074758],"genre_scores_gemma":[0.9991665,0.0001243997,0.0001160857,0.00002209777,0.000005478946,0.000002379246,0.0001757073,0.000003563213,0.0003838222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0277312,"threshold_uncertainty_score":0.0551396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2532888179","doi":"10.1007/s00024-016-1417-6","title":"Real-Time Earthquake Intensity Estimation Using Streaming Data Analysis of Social and Physical Sensors","year":2016,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Mercalli intensity scale; Intensity (physics); Seismometer; Data stream mining; Real-time computing; Data mining; Seismology; Geology; Peak ground acceleration","authors":[{"name":"Yelena Kropivnitskaya","is_ca":true},{"name":"K. F. Tiampo","is_ca":true},{"name":"Jinhui Qin","is_ca":true},{"name":"Michael Bauer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02566144069225615,"gpt":0.2638805401264168,"spread":0.2382190994341606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109723,0.000609492,0.0006276073,0.0008295734,0.0001594235,0.0004184669,0.0005914239,0.0004920663,0.0005364968],"category_scores_gemma":[0.001519184,0.0002049475,0.0003183882,0.001141381,0.0002014823,0.0007243493,0.0004998742,0.0004037796,0.0002582183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691897,"about_ca_system_score_gemma":0.0002547112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810207,"about_ca_topic_score_gemma":0.002146435,"domain_scores_codex":[0.9997563,0.00003615059,0.00001863725,0.00008260918,0.00007398509,0.00003232394],"domain_scores_gemma":[0.9994369,0.0002240869,0.0001109441,0.00006062746,0.0001203166,0.00004714157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001291822,0.0007212962,0.1208438,0.0003801652,0.0003628467,0.001073316,0.0003777575,0.254062,0.08171924,0.005882625,0.005274977,0.5280101],"study_design_scores_gemma":[0.000009127793,0.00007862367,0.01915371,0.000006113143,0.00002772544,0.0001665627,0.00007740575,0.9748457,0.003198577,0.001902736,0.0005209408,0.00001271176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.539499,0.0007757076,0.4549055,0.0003867223,0.000183555,0.00007448949,0.001782807,0.0006063089,0.00178589],"genre_scores_gemma":[0.9748351,0.0001945759,0.02328727,0.00003047774,0.0001088373,0.000030878,0.0009546428,0.00001132583,0.0005469061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810207,"threshold_uncertainty_score":0.003599286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037751930","doi":"10.1029/2020jb019714","title":"Optimization of the Match‐Filtering Method for Robust Repeating Earthquake Detection: The Multisegment Cross‐Correlation Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Geological Survey of Canada","funders":"","keywords":"Waveform; Computer science; Cross-correlation; Amplitude; Correlation; Filter (signal processing); Algorithm; Matched filter; Phase (matter); Reliability (semiconductor); Pattern recognition (psychology); Artificial intelligence; Physics; Mathematics; Statistics; Optics; Telecommunications; Computer vision","authors":[{"name":"Dawei Gao","is_ca":true},{"name":"Honn Kao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08337811905209258,"gpt":0.3572204243265014,"spread":0.2738423052744088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533365,0.0009339151,0.0009722317,0.001515479,0.0004027671,0.0006377989,0.000932071,0.0009595338,0.001351362],"category_scores_gemma":[0.003316269,0.0004958017,0.0008152929,0.001057019,0.0004085226,0.0008877863,0.0008769542,0.0006613996,0.0003865619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350665,"about_ca_system_score_gemma":0.001559796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005332163,"about_ca_topic_score_gemma":0.004792685,"domain_scores_codex":[0.9992385,0.000167241,0.00004970473,0.0001880684,0.0002684664,0.00008802366],"domain_scores_gemma":[0.9988293,0.0005306692,0.0001618545,0.0001232061,0.0002986939,0.00005625464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004702567,0.0002854054,0.004255009,0.0002016567,0.0002517096,0.0002124587,0.0001278368,0.4012529,0.09506093,0.008242046,0.002097529,0.4875422],"study_design_scores_gemma":[0.000007965573,0.00005438308,0.001201081,0.000005794243,0.00002171173,0.00004018015,0.0000084384,0.991319,0.006322672,0.0005191425,0.0004865685,0.00001306737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02391725,0.0001639417,0.975089,0.00005279755,0.00001475643,0.0000276379,0.00003006246,0.0003187518,0.0003856227],"genre_scores_gemma":[0.3312943,0.0002222355,0.6665911,0.00009872512,0.00005137789,0.0001094404,0.0002363756,0.000144474,0.001251996],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005332163,"threshold_uncertainty_score":0.0106023,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401645098","doi":"10.1785/0120230259","title":"Status and Performance of the ShakeAlert Earthquake Early Warning System: 2019–2023","year":2024,"lang":"en","type":"article","venue":"Bulletin of the Seismological Society of America","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Earthquake warning system; Seismology; Warning system; Geology; Environmental science; Computer science; Telecommunications","authors":[{"name":"Angela Lux","is_ca":false},{"name":"D. E. Smith","is_ca":false},{"name":"Maren Böse","is_ca":false},{"name":"J. J. McGuire","is_ca":false},{"name":"J. K. Saunders","is_ca":false},{"name":"Minh Huynh","is_ca":false},{"name":"Igor Stubailo","is_ca":false},{"name":"Jennifer Andrews","is_ca":false},{"name":"G. C. Lotto","is_ca":false},{"name":"Brendan W. Crowell","is_ca":false},{"name":"Stephen Crane","is_ca":true},{"name":"R. M. Allen","is_ca":false},{"name":"Douglas D. Given","is_ca":false},{"name":"Renate Hartog","is_ca":false},{"name":"Thomas H. Heaton","is_ca":false},{"name":"Allen Husker","is_ca":false},{"name":"Julien Marty","is_ca":false},{"name":"L. O'Driscoll","is_ca":false},{"name":"Harold Tobin","is_ca":false},{"name":"Sara K. McBride","is_ca":false},{"name":"D. R. Toomey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01117857220203234,"gpt":0.2099458716453613,"spread":0.198767299443329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004657981,0.0003026853,0.000331159,0.0008019846,0.0003820589,0.001477598,0.001143515,0.0006900682,0.004755006],"category_scores_gemma":[0.01193529,0.0001539069,0.0003020384,0.0007100932,0.0003533158,0.002117454,0.001065896,0.0008338371,0.00281818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628649,"about_ca_system_score_gemma":0.001809836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03168795,"about_ca_topic_score_gemma":0.02996261,"domain_scores_codex":[0.9983902,0.0001885937,0.0001565893,0.0001811266,0.0008860738,0.0001973888],"domain_scores_gemma":[0.9920947,0.001026312,0.0009891135,0.0003857416,0.004673819,0.0008304464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001340513,0.0007372535,0.6164196,0.0005430902,0.0001585941,0.0003131568,0.0008026717,0.01079595,0.009861117,0.002411648,0.07210919,0.2845073],"study_design_scores_gemma":[0.0001334263,0.001979249,0.873699,0.000308626,0.0001071577,0.0003484967,0.001216276,0.05105094,0.01057069,0.0008375851,0.05963073,0.0001177488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389845,0.001426916,0.003254098,0.00724211,0.000501273,0.0002234167,0.01659353,0.001860098,0.02991411],"genre_scores_gemma":[0.9792145,0.0002993223,0.001310255,0.0004973321,0.0001067781,0.00003449075,0.01634504,0.00006136844,0.002130802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03168795,"threshold_uncertainty_score":0.063007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981967110","doi":"10.4095/299002","title":"Technical meeting on the traffic light protocols (TLP) for induced seismicity: summary and recommendations","year":2016,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Induced seismicity; Environmental science; Seismology; Computer science; Geology","authors":[{"name":"Honn Kao","is_ca":true},{"name":"David W. Eaton","is_ca":true},{"name":"Gail M. Atkinson","is_ca":false},{"name":"S. C. Maxwell","is_ca":false},{"name":"Alireza Babaie Mahani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08845805036486064,"gpt":0.3430309339665328,"spread":0.2545728836016721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06244126,0.003796587,0.001559305,0.004316233,0.003472137,0.01517602,0.006845275,0.0160693,0.03207828],"category_scores_gemma":[0.05403442,0.002087115,0.002954576,0.00291021,0.00223033,0.01785661,0.006834722,0.0174799,0.03502552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007316878,"about_ca_system_score_gemma":0.03859912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681012,"about_ca_topic_score_gemma":0.0102212,"domain_scores_codex":[0.9700889,0.01054163,0.004192103,0.001773763,0.009468078,0.003935578],"domain_scores_gemma":[0.9208581,0.01126499,0.004071346,0.002723919,0.05130853,0.009773027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001273866,0.0004473087,0.0006967571,0.00259654,0.00003506069,0.0004822545,0.0009204558,0.002120969,0.003032557,0.02047233,0.8156165,0.1534518],"study_design_scores_gemma":[0.00002350142,0.0001470225,0.0004714713,0.003974285,0.00003190793,0.000167412,0.001237305,0.0006318656,0.0006703815,0.004476846,0.9881022,0.0000657307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003279783,0.03928182,0.116672,0.6511792,0.06962002,0.007714469,0.00280923,0.003597933,0.1058456],"genre_scores_gemma":[0.0235742,0.1814649,0.2267606,0.175867,0.04031628,0.01560634,0.01831742,0.002455018,0.3156382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06244126,"threshold_uncertainty_score":0.3302249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3148020013","doi":"10.1190/geo2020-0308.1","title":"Automatic seismic phase picking based on unsupervised machine-learning classification and content information analysis","year":2021,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"King Abdullah University of Science and Technology","keywords":"Microseism; Waveform; Computer science; Workflow; Cluster analysis; Akaike information criterion; Pattern recognition (psychology); Identification (biology); Data mining; Artificial intelligence; Algorithm; Seismology; Geology; Machine learning; Database","authors":[{"name":"Eduardo Valero Cano","is_ca":false},{"name":"Jubran Akram","is_ca":true},{"name":"Daniel Peter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03043900491464697,"gpt":0.2447202877832911,"spread":0.2142812828686441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001129735,0.0009941311,0.001095019,0.005206855,0.000772758,0.001264762,0.001259398,0.0008065988,0.00248921],"category_scores_gemma":[0.003943723,0.0003808872,0.0008858387,0.002887734,0.0005500475,0.001052938,0.0009640671,0.0008152421,0.002469023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006762887,"about_ca_system_score_gemma":0.001603602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841803,"about_ca_topic_score_gemma":0.004915917,"domain_scores_codex":[0.9989592,0.0001772846,0.00008781463,0.0002669323,0.0003804423,0.0001283824],"domain_scores_gemma":[0.9972373,0.0008607838,0.0002738016,0.0003715504,0.001161642,0.00009485966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003166805,0.0003715054,0.004092399,0.0001387793,0.0000755683,0.0001944821,0.0002171148,0.05203838,0.06009518,0.003964221,0.006989262,0.8715064],"study_design_scores_gemma":[0.00001761871,0.00003573131,0.002546444,0.000009961858,0.00001545607,0.00005096146,0.00003905187,0.974686,0.01601136,0.004722289,0.001837367,0.00002781022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01966042,0.00005409563,0.9728379,0.00007295451,0.00003415033,0.000136627,0.0003639119,0.005842905,0.0009969783],"genre_scores_gemma":[0.1375282,0.00005091531,0.8592637,0.00005186741,0.00005764422,0.0001953223,0.001145958,0.0003012672,0.001405252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005206855,"threshold_uncertainty_score":0.008327246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3187105191","doi":"10.3389/feart.2021.684084","title":"An Earthquake Early Warning System for Southwestern British Columbia","year":2021,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Fisheries and Oceans Canada; Ocean Networks Canada Society; University of Victoria","funders":"Natural Resources Canada; Canada Foundation for Innovation; Government of Canada; BC Hydro; Australian Government; Public Safety Canada","keywords":"Geodetic datum; Seismology; Earthquake warning system; Geology; GNSS applications; Warning system; Submarine pipeline; Epicenter; Seismic hazard; Global Positioning System; Early warning system; Geodesy; Computer science; Telecommunications","authors":[{"name":"Angela Schlesinger","is_ca":true},{"name":"Jacob Kukovica","is_ca":true},{"name":"A. Rosenberger","is_ca":true},{"name":"M. Heesemann","is_ca":true},{"name":"B. Pirenne","is_ca":true},{"name":"Jessica Robinson","is_ca":true},{"name":"Michael G. Morley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008579994634501318,"gpt":0.2146720324434818,"spread":0.2060920378089805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989404,0.0003476073,0.0001909823,0.001259048,0.001541183,0.001160746,0.0005729104,0.000319484,0.009774585],"category_scores_gemma":[0.001393299,0.0001656643,0.00008263345,0.0014214,0.0001230799,0.0004487821,0.000605511,0.0004079692,0.002286487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006103732,"about_ca_system_score_gemma":0.0110727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9325634,"about_ca_topic_score_gemma":0.9567288,"domain_scores_codex":[0.9997862,0.00001529296,0.00001612977,0.00003113516,0.0001038305,0.00004744024],"domain_scores_gemma":[0.9983745,0.00004777396,0.00004554708,0.000059775,0.001319841,0.0001525391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005563317,0.0001951774,0.1016256,0.0002460027,0.00005294395,0.000877942,0.001012884,0.01037179,0.02104423,0.002134201,0.4719152,0.3899676],"study_design_scores_gemma":[0.0003077727,0.0001482964,0.2491488,0.0002947776,0.0001103448,0.0002852173,0.002677178,0.2164569,0.01445183,0.001047797,0.5147883,0.0002827579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6188611,0.001713114,0.03468772,0.009232648,0.000576023,0.001929348,0.09301275,0.03398087,0.2060064],"genre_scores_gemma":[0.8185923,0.001118051,0.03802923,0.0007812998,0.00005941877,0.0004309822,0.05167588,0.0003720926,0.08894081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06743664,"threshold_uncertainty_score":0.1356675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W385418558","doi":"10.1007/978-94-015-9829-3_27","title":"Seismogenic faulting, moment release patterns and seismic hazard along the central and southern Apennines and the Calabrian arc","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Seismology; Relocation; Geology; Human settlement; Peninsula; Seismic gap; Earthquake casualty estimation; Seismic hazard; Urban seismic risk; Types of earthquake; Earthquake scenario; Abandonment (legal); Induced seismicity; Population; Foreshock; Aftershock; Geography; Archaeology; Law","authors":[{"name":"Gianluca Valensise","is_ca":false},{"name":"D. Pantosti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01167888007374552,"gpt":0.2004317307248552,"spread":0.1887528506511097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349973,0.0001982103,0.0001530893,0.001127954,0.0004451151,0.0007613664,0.0003932994,0.000159753,0.001883896],"category_scores_gemma":[0.001012332,0.0001901867,0.00009090706,0.003069511,0.0005225589,0.00041246,0.0002971874,0.0002777032,0.0001219862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009662901,"about_ca_system_score_gemma":0.0002256333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1176994,"about_ca_topic_score_gemma":0.2182424,"domain_scores_codex":[0.9999549,0.000008059777,0.000003289697,0.00001279279,0.00001242825,0.000008444641],"domain_scores_gemma":[0.9997798,0.00008913883,0.00006050152,0.00001178808,0.00004313276,0.00001560693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003552653,0.00008432949,0.6113737,0.0002129439,0.0001186399,0.0007901246,0.007976237,0.01493051,0.0028903,0.01359089,0.007800393,0.3398767],"study_design_scores_gemma":[0.00001134174,0.00003318557,0.9891238,0.00002307152,0.00001627982,0.0001221768,0.0007139476,0.001021412,0.00004890268,0.002604128,0.006276897,0.000004887608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668863,0.005593659,0.0005154797,0.0004527054,0.00001434858,0.000007066341,0.0007615273,0.00002305923,0.02574593],"genre_scores_gemma":[0.989067,0.002824496,0.0004430593,0.00001955103,0.0000170728,0.000005640605,0.0006515896,0.000006356265,0.006965239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176994,"threshold_uncertainty_score":0.2340285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2928614424","doi":"10.1029/2018jb017050","title":"Seismicity‐Scanning Based on Navigated Automatic Phase‐Picking","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Victoria; Geological Survey of Canada","funders":"","keywords":"Induced seismicity; Intersection (aeronautics); Workflow; Set (abstract data type); Computer science; Geology; Seismology; Relation (database); Pattern recognition (psychology); Data mining; Algorithm; Artificial intelligence; Engineering; Database","authors":[{"name":"Fengzhou Tan","is_ca":true},{"name":"Honn Kao","is_ca":true},{"name":"Edwin Nissen","is_ca":true},{"name":"David W. Eaton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04150256787670586,"gpt":0.3746386774689117,"spread":0.3331361095922058,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878684,0.0005161274,0.0004976577,0.002185239,0.0003035146,0.0005444402,0.0009537752,0.0003976697,0.001949823],"category_scores_gemma":[0.001583779,0.0003443586,0.0004334839,0.001245468,0.0003704406,0.0007042922,0.001125388,0.0003469356,0.001050295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196013,"about_ca_system_score_gemma":0.0007438131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232492,"about_ca_topic_score_gemma":0.00253209,"domain_scores_codex":[0.9995958,0.00007078561,0.00002229489,0.0001035939,0.0001684015,0.00003913412],"domain_scores_gemma":[0.9993204,0.0001882857,0.00009383188,0.0001449279,0.000200833,0.00005171043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004714726,0.0001078237,0.01197108,0.0001632653,0.0001081316,0.0003236307,0.0002698595,0.03672343,0.1803838,0.00394323,0.003492906,0.7620414],"study_design_scores_gemma":[0.00009859102,0.0002573347,0.01372447,0.00002555298,0.00006068534,0.001304894,0.0001451889,0.8513194,0.1163323,0.005450839,0.0111636,0.0001171615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06407571,0.0001045149,0.9298978,0.00004505688,0.00003351404,0.00007194647,0.000282435,0.003563076,0.001925921],"genre_scores_gemma":[0.3294196,0.00006613424,0.6682014,0.00004336143,0.00002298494,0.00009832457,0.0008308817,0.0001929756,0.001124263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002185239,"threshold_uncertainty_score":0.006522775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392214886","doi":"10.1016/j.ijggc.2024.104100","title":"Effective microseismic monitoring of the Quest CCS site, Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Shell (Canada)","funders":"Norges Forskningsråd; Agence de l'Environnement et de la Maîtrise de l'Energie; Agence de la transition écologique; Emissions Reduction Alberta","keywords":"Microseism; Caprock; Plume; Petroleum engineering; Reliability (semiconductor); Geology; Environmental science; Mining engineering; Seismology; Meteorology","authors":[{"name":"Bettina Goertz-Allmann","is_ca":false},{"name":"Nadège Langet","is_ca":false},{"name":"K. Iranpour","is_ca":false},{"name":"Daniela Kühn","is_ca":false},{"name":"Alan Baird","is_ca":false},{"name":"Steve Oates","is_ca":false},{"name":"Carrie Rowe","is_ca":true},{"name":"Stephen Harvey","is_ca":true},{"name":"Volker Øye","is_ca":false},{"name":"Hilde Nakstad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004241446975981664,"gpt":0.2208858539288895,"spread":0.2166444069529079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478871,0.0002301815,0.0001546126,0.001105424,0.002220204,0.0005726161,0.0007327991,0.0004078273,0.002337588],"category_scores_gemma":[0.0004427379,0.0001372324,0.00008678278,0.001289218,0.0003578465,0.0002080713,0.0004184844,0.0003184492,0.0004199312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009181253,"about_ca_system_score_gemma":0.02085464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864862,"about_ca_topic_score_gemma":0.9973903,"domain_scores_codex":[0.9997477,0.00000987556,0.000005250345,0.00002878619,0.0001464278,0.00006197269],"domain_scores_gemma":[0.9994425,0.00001913989,0.00002687278,0.000008634251,0.0004173061,0.00008541047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006178541,0.0003001717,0.7495533,0.0002657594,0.00006633167,0.002150517,0.005009852,0.01101209,0.03573817,0.002190928,0.03439442,0.1587006],"study_design_scores_gemma":[0.00002125161,0.00004804567,0.9736803,0.00004437655,0.00001505883,0.0001193164,0.003903734,0.005378852,0.001415661,0.0001611558,0.01519061,0.00002169019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665875,0.0003738374,0.001211411,0.0007350302,0.00003908838,0.0001389164,0.005212583,0.0001257428,0.02557593],"genre_scores_gemma":[0.9802172,0.0001906684,0.001667509,0.00008765801,0.00001086378,0.00002708143,0.00145867,0.0000178211,0.01632241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135138,"threshold_uncertainty_score":0.06661493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121198171","doi":"10.1007/s10329-005-0151-y","title":"Seismic activity response as observed in mantled howlers (Alouatta palliata), Cuero y Salado Wildlife Refuge, Honduras","year":2005,"lang":"en","type":"article","venue":"Primates","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Mercalli intensity scale; Geology; Animal ecology; Geography; Seismology; Ecology; Biology","authors":[{"name":"Kymberley Anne Snarr","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02830389137565439,"gpt":0.2724823412657795,"spread":0.2441784498901251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008649322,0.0001581185,0.0001730907,0.0004851937,0.0004735906,0.000357671,0.0001903222,0.0002866848,0.0006243254],"category_scores_gemma":[0.0005125243,0.0001028892,0.00007561196,0.0004750419,0.000425119,0.000135187,0.00036031,0.0001890866,0.0001526168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083162,"about_ca_system_score_gemma":0.0003052244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07086951,"about_ca_topic_score_gemma":0.2708065,"domain_scores_codex":[0.9999479,0.000009696702,0.00000300403,0.00001703854,0.00000642976,0.00001591818],"domain_scores_gemma":[0.9997655,0.00003011416,0.00005102991,0.00001236069,0.00005249435,0.00008860791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005201984,0.00009235597,0.946563,0.00003146343,0.00006291766,0.0005415244,0.01069776,0.0002188396,0.03457361,0.0000527791,0.0002060867,0.006439611],"study_design_scores_gemma":[0.000004710848,0.00009120916,0.9953869,0.000003416827,0.00001082375,0.0001341628,0.003734114,0.0001183198,0.0003058367,0.00001161382,0.0001952035,0.000003835104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997935,0.000009216243,0.000008207569,0.000004440697,5.529176e-7,0.000001129186,0.00003559505,8.196138e-7,0.0001465144],"genre_scores_gemma":[0.999635,0.0000200336,0.00004246329,0.00000664749,8.460431e-7,0.000003119035,0.00006071215,8.130484e-7,0.0002303282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07086951,"threshold_uncertainty_score":0.140914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088302144","doi":"10.1029/2020jb019426","title":"Automatic Detection and Location of Seismic Events From Time‐Delay Projection Mapping and Neural Network Classification","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial neural network; Data set; Classifier (UML); Data mining; Pattern recognition (psychology); Coherence (philosophical gambling strategy); Artificial intelligence","authors":[{"name":"Stephen Mosher","is_ca":true},{"name":"Pascal Audet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05723453526608981,"gpt":0.3129559539758995,"spread":0.2557214187098097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005415435,0.0005961657,0.000356865,0.001992433,0.0002271456,0.0005847728,0.0004779158,0.0004754352,0.001290679],"category_scores_gemma":[0.002038757,0.0002243053,0.0002913278,0.001176376,0.0002414526,0.0006017585,0.0004794224,0.00051283,0.000352648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582307,"about_ca_system_score_gemma":0.0004935518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021916,"about_ca_topic_score_gemma":0.01279739,"domain_scores_codex":[0.9997663,0.00005140223,0.00001305647,0.00007186117,0.00005811287,0.00003913714],"domain_scores_gemma":[0.9990915,0.0003912912,0.0001819532,0.00006325345,0.0002137675,0.00005815922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006127066,0.0004109036,0.1149459,0.00009056283,0.0001651435,0.0002987667,0.0001251443,0.3311504,0.02861658,0.001478868,0.003930514,0.5181745],"study_design_scores_gemma":[0.000004005374,0.00001102563,0.009673762,0.000003553472,0.000005555362,0.00001337812,0.00001498064,0.9879041,0.001821465,0.0004049125,0.0001384965,0.000004753031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6883079,0.0003164193,0.3059939,0.0003275191,0.00006870957,0.00007481364,0.0006580546,0.001722819,0.002529815],"genre_scores_gemma":[0.9447243,0.00007034856,0.05377143,0.00002016698,0.00003430697,0.0000307783,0.000500057,0.00002574798,0.0008227498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021916,"threshold_uncertainty_score":0.02031934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2589127940","doi":"","title":"Automatic event detection and picking of P-wave arrivals","year":2004,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Microseism; Event (particle physics); Turtle (robot); Computer science; Geology; Seismology; Data mining; Algorithm; Pattern recognition (psychology); Real-time computing; Artificial intelligence; Physics","authors":[{"name":"Kim Munro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01728221453445917,"gpt":0.2301565828834944,"spread":0.2128743683490353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008378481,0.0006995442,0.0006726931,0.002044957,0.0005074851,0.0009015576,0.001243721,0.0006568225,0.002480112],"category_scores_gemma":[0.003091678,0.0003615227,0.0003864867,0.001177019,0.0002866037,0.000785435,0.0007908612,0.00069806,0.001887046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860453,"about_ca_system_score_gemma":0.0007264453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086964,"about_ca_topic_score_gemma":0.004132266,"domain_scores_codex":[0.9991853,0.0001123234,0.00004702698,0.00017838,0.0003546647,0.0001222708],"domain_scores_gemma":[0.9984499,0.0005092297,0.0001302315,0.000201426,0.0006256925,0.00008351004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00105092,0.000144159,0.008635732,0.0001492805,0.00006087306,0.0004773384,0.0002566701,0.01749757,0.1859464,0.002409282,0.005161446,0.7782102],"study_design_scores_gemma":[0.0001836519,0.0003553574,0.02239259,0.00002680382,0.0000705609,0.001241028,0.00020021,0.7401282,0.2168671,0.004162294,0.01426177,0.0001104568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06318114,0.00009591659,0.9295617,0.00005774795,0.00005672084,0.00007890771,0.0002987147,0.00549414,0.001175069],"genre_scores_gemma":[0.290654,0.00009090234,0.7056707,0.00004187399,0.00005294278,0.00006599728,0.001129389,0.0003015553,0.001992651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003086964,"threshold_uncertainty_score":0.008296847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092786722","doi":"","title":"Alberta Earthquake Catalogue, Version 1.0: September 2006 through December 2010","year":2013,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geology; Seismology","authors":[{"name":"V.H. Stern","is_ca":false},{"name":"R.J. Schultz","is_ca":false},{"name":"L. Shen","is_ca":false},{"name":"Y.J. Gu","is_ca":false},{"name":"D.W. Eaton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01280694104325543,"gpt":0.2207852203572606,"spread":0.2079782793140051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609716,0.001661003,0.0009257544,0.01098354,0.001217926,0.00218142,0.00190938,0.0006043804,0.04123675],"category_scores_gemma":[0.005033973,0.0006276449,0.0004201164,0.01531392,0.0003054747,0.0009648334,0.0009417165,0.0009465159,0.03173713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00831103,"about_ca_system_score_gemma":0.02295516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9362803,"about_ca_topic_score_gemma":0.9678329,"domain_scores_codex":[0.9991865,0.00002874908,0.00008645389,0.00008144604,0.0004762652,0.0001405986],"domain_scores_gemma":[0.9936641,0.0001403275,0.0003200607,0.0002890879,0.005223234,0.00036316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001367106,0.00001676451,0.006307,0.0004663848,0.00002584374,0.00006310483,0.000119464,0.0005471058,0.0002082919,0.0005633181,0.9742173,0.01732877],"study_design_scores_gemma":[0.0001061362,0.00003058002,0.1784833,0.0003254289,0.00006304424,0.0001367572,0.0003437339,0.0006766263,0.0005386592,0.00056604,0.8186762,0.00005337499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001543109,0.0004664068,0.0003165711,0.0001061948,0.0001052794,0.0000551252,0.9850063,0.0005177064,0.01188331],"genre_scores_gemma":[0.004558947,0.0006789184,0.001289874,0.00004235449,0.00004481793,0.00004439864,0.9731799,0.0001553485,0.02000557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06371969,"threshold_uncertainty_score":0.1379507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791989179","doi":"10.1785/0220170116","title":"What Googling Trends Tell Us about Public Interest in Earthquakes","year":2018,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Icon; Citation; Download; Public interest; History; Library science; Haven; Online search; World Wide Web; Computer science; Political science","authors":[{"name":"Yen Joe Tan","is_ca":false},{"name":"Rijan Maharjan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2027527161585054,"gpt":0.3730255766500603,"spread":0.1702728604915549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002435166,0.0002223508,0.0003795439,0.003816451,0.001117475,0.004528814,0.0004315237,0.001790574,0.02130917],"category_scores_gemma":[0.02633658,0.0002001419,0.0003566315,0.006807261,0.001037857,0.006541384,0.001498382,0.002445931,0.006903623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365594,"about_ca_system_score_gemma":0.001509826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920935,"about_ca_topic_score_gemma":0.03426289,"domain_scores_codex":[0.9986629,0.0003699497,0.000142914,0.0001295239,0.0004075163,0.0002872641],"domain_scores_gemma":[0.9855605,0.004978109,0.00375853,0.0006964521,0.003449396,0.001556968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002498668,0.0001203525,0.1869086,0.000832713,0.0001603359,0.0003808157,0.01077853,0.0002225534,0.0001811477,0.01614874,0.6214235,0.1625928],"study_design_scores_gemma":[0.00004319462,0.0001263885,0.4442088,0.002861125,0.0001217767,0.0002998232,0.0283045,0.0002872486,0.0004490379,0.01511554,0.5080764,0.0001061283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1485097,0.04059646,0.0008434953,0.5472232,0.005596512,0.0001255853,0.05279638,0.0002102086,0.2040986],"genre_scores_gemma":[0.800634,0.06779994,0.0008921615,0.04914304,0.01033196,0.0002335756,0.027936,0.0003898807,0.04263941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02130917,"threshold_uncertainty_score":0.07128626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1975618746","doi":"10.17704/eshi.30.1.65j1522lh8471350","title":"Part of the History of the Origin of Transform Faults","year":2011,"lang":"en","type":"article","venue":"Earth Sciences History","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Interpretation (philosophy); Newcastle upon tyne; History; Graduate students; Art history; Geology; Genealogy; Computer science; Sociology; Medicine","authors":[{"name":"A. M. Coode","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0621064599002825,"gpt":0.2165517693370558,"spread":0.1544453094367733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000663753,0.0002474119,0.0002312466,0.001315898,0.002331779,0.004074709,0.000472051,0.001512638,0.01338758],"category_scores_gemma":[0.004205955,0.0002760955,0.0001634762,0.002862026,0.006180087,0.005381731,0.001236126,0.002592234,0.001653915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292984,"about_ca_system_score_gemma":0.001465257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018711,"about_ca_topic_score_gemma":0.008081191,"domain_scores_codex":[0.9995288,0.0001290998,0.00001932218,0.0001052885,0.0001525857,0.0000649105],"domain_scores_gemma":[0.9986309,0.0007024151,0.000114945,0.0001674687,0.0002603853,0.0001238164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001362889,0.00003729067,0.003043253,0.0005512488,0.00002469553,0.0005916542,0.01019936,0.001709968,0.001176029,0.7397925,0.0559032,0.1868345],"study_design_scores_gemma":[0.000005903009,0.00001661191,0.002614011,0.000272368,0.000005762099,0.0003078828,0.0009238348,0.0002161672,0.000374739,0.06298345,0.9322647,0.00001455578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06243319,0.1819071,0.01761672,0.1097279,0.007189998,0.00005998246,0.0006506413,0.000231175,0.6201833],"genre_scores_gemma":[0.7199352,0.1308603,0.002892989,0.008340222,0.005961639,0.0000457554,0.0003789049,0.0002339947,0.131351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01338758,"threshold_uncertainty_score":0.04478598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004441836","doi":"10.5880/fidgeo.2019.024","title":"BEAT - Bayesian Earthquake Analysis Tool","year":2019,"lang":"en","type":"article","venue":"Open MIND","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Bayesian probability; Geology; Computer science; Seismology; Artificial intelligence","authors":[{"name":"Hannes Vasyura‐Bathke","is_ca":false},{"name":"Jan Dettmer","is_ca":true},{"name":"Andreas Steinberg","is_ca":false},{"name":"Sebastian Heimann","is_ca":false},{"name":"Marius Paul Isken","is_ca":false},{"name":"Olaf Zielke","is_ca":false},{"name":"P. Martín","is_ca":false},{"name":"Henriette Sudhaus","is_ca":false},{"name":"Sigurjón Jónsson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02013466666826937,"gpt":0.2702551721977596,"spread":0.2501205055294903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467514,0.001178096,0.001187247,0.002749615,0.0005143231,0.002161235,0.002016974,0.001273326,0.08527764],"category_scores_gemma":[0.007133989,0.0009550442,0.0009477148,0.001595699,0.0002731143,0.001538296,0.002002578,0.001368304,0.0304498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154666,"about_ca_system_score_gemma":0.001441898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004179067,"about_ca_topic_score_gemma":0.006273349,"domain_scores_codex":[0.9993649,0.0001022594,0.00005046694,0.0001174428,0.0003081156,0.00005677366],"domain_scores_gemma":[0.9987456,0.0005598883,0.0001097811,0.0001539038,0.0003681536,0.00006277215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005241227,0.0001552664,0.005614797,0.0008940606,0.0003740091,0.0004304633,0.0002752423,0.08827657,0.006703098,0.04510197,0.398561,0.4530894],"study_design_scores_gemma":[0.0002115385,0.00005744892,0.00271108,0.0001661302,0.00009798793,0.0004800328,0.00008092655,0.6878551,0.005520225,0.08193535,0.2207572,0.0001269057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0035442,0.000338282,0.8477789,0.0002787564,0.0001432902,0.0001536194,0.02327889,0.113006,0.01147795],"genre_scores_gemma":[0.08512996,0.0006807802,0.7938301,0.00058634,0.0002591667,0.0009302709,0.06249306,0.03354238,0.02254803],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08527764,"threshold_uncertainty_score":0.2852821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3028011508","doi":"10.18280/ijsse.100217","title":"Object Detection Using Convolutional Neural Networks for Natural Disaster Recovery","year":2020,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Object (grammar); Artificial intelligence; Natural disaster; Object detection; Natural (archaeology); Pattern recognition (psychology); Geology","authors":[{"name":"Deva Salluri","is_ca":false},{"name":"Kalpana Bade","is_ca":false},{"name":"Gargi Madala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01117914986756481,"gpt":0.220745518333583,"spread":0.2095663684660182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004515159,0.0008734518,0.0004896953,0.001326363,0.0002748548,0.0007141539,0.0009072428,0.0008531685,0.001738441],"category_scores_gemma":[0.0009093544,0.0003727725,0.0007285967,0.0009937221,0.0002260144,0.001003119,0.0005389485,0.0007360858,0.0007689961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009755428,"about_ca_system_score_gemma":0.0006900665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795336,"about_ca_topic_score_gemma":0.01645192,"domain_scores_codex":[0.9997051,0.00002825429,0.00002043135,0.00008749886,0.00008277056,0.00007592034],"domain_scores_gemma":[0.9997743,0.00005570049,0.00003754602,0.0000341544,0.00008377422,0.00001451353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004933723,0.000422462,0.009521563,0.0003224087,0.0002750165,0.0006005197,0.00009689817,0.1919423,0.03257896,0.001881208,0.01558354,0.7462817],"study_design_scores_gemma":[0.00001025521,0.00007471738,0.004558011,0.00003038901,0.0000450607,0.0001241288,0.00003616781,0.975485,0.01429733,0.001635015,0.003684284,0.000019746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3757283,0.01273476,0.5741325,0.001942177,0.0008593973,0.0003031818,0.003711713,0.01423195,0.01635594],"genre_scores_gemma":[0.8682832,0.00312688,0.1100369,0.0003781015,0.0001149541,0.0001005466,0.005777595,0.0001825622,0.01199933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01795336,"threshold_uncertainty_score":0.03569776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395956767","doi":"10.1016/j.cageo.2024.105600","title":"Leveraging automated deep learning (AutoDL) in geosciences","year":2024,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Geology; Data science","authors":[{"name":"Nandito Davy","is_ca":false},{"name":"Umair bin Waheed","is_ca":false},{"name":"Ardiansyah Koeshidayatullah","is_ca":false},{"name":"Ammar El‐Husseiny","is_ca":false},{"name":"Korhan Ayrancı","is_ca":false},{"name":"Nicholas B. Harris","is_ca":true},{"name":"Tian Dong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01616910974415795,"gpt":0.2554061397855673,"spread":0.2392370300414093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036812,0.0007015731,0.0006089917,0.001056514,0.0003207395,0.001330528,0.001201311,0.001112356,0.002990996],"category_scores_gemma":[0.00354348,0.0004393072,0.0005501159,0.0009115926,0.0005066818,0.002356546,0.002161647,0.001458942,0.001203583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622671,"about_ca_system_score_gemma":0.001432193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005739268,"about_ca_topic_score_gemma":0.009012189,"domain_scores_codex":[0.9995502,0.0001072756,0.00003907573,0.0001065388,0.0001297834,0.00006715782],"domain_scores_gemma":[0.9984159,0.0006338743,0.0001111033,0.0003979406,0.0003573759,0.00008371148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001678917,0.0003679775,0.004613246,0.0001927907,0.0001334314,0.0001205419,0.00005794176,0.3337504,0.007671876,0.01027457,0.008178357,0.634471],"study_design_scores_gemma":[0.00000591538,0.00002323019,0.0001809871,0.000007616337,0.000008049613,0.00001355977,0.000006407822,0.9884737,0.001966243,0.008222939,0.001086287,0.000004956149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08577172,0.001830572,0.8941965,0.001381034,0.0003941327,0.00006230845,0.0007272777,0.01075743,0.004879097],"genre_scores_gemma":[0.7804506,0.0007180613,0.2107381,0.0006339048,0.0001846927,0.00006435258,0.001518255,0.0002768605,0.005415182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005739268,"threshold_uncertainty_score":0.01141173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2331040011","doi":"10.1785/0220130118","title":"Communications in the Aftermath of a Major Earthquake: Bringing Science to Citizens to Promote Recovery","year":2014,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Citation; Icon; Download; Library science; History; World Wide Web; Computer science","authors":[{"name":"Maurice Lamontagne","is_ca":true},{"name":"Brian Flynn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07656823500579775,"gpt":0.3589024769904942,"spread":0.2823342419846964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005846775,0.0004184523,0.0002459438,0.001022338,0.006280068,0.006505958,0.0008010795,0.006504883,0.006419712],"category_scores_gemma":[0.01539534,0.0002233075,0.0002904562,0.0008646581,0.005349176,0.00946054,0.005004922,0.006003394,0.001157432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158332,"about_ca_system_score_gemma":0.007195372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450976,"about_ca_topic_score_gemma":0.004370344,"domain_scores_codex":[0.9971826,0.001972195,0.00008531159,0.0001281883,0.0002778873,0.0003538111],"domain_scores_gemma":[0.9876357,0.006960474,0.001271423,0.0004114661,0.001346182,0.002374776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00023101,0.000538666,0.007457322,0.001428931,0.00003652147,0.001515673,0.3595911,0.0006675083,0.002309038,0.1943172,0.1874636,0.2444436],"study_design_scores_gemma":[0.00007621575,0.000493721,0.01015527,0.001679578,0.00005778531,0.0003952127,0.2618703,0.0005988005,0.001167326,0.05270255,0.6707199,0.00008330152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08607177,0.003337177,0.007291174,0.8209671,0.005341818,0.0001739167,0.00008244309,0.000209702,0.07652488],"genre_scores_gemma":[0.9030201,0.008795391,0.005923251,0.05874837,0.00319327,0.0002774236,0.00009436891,0.00007934935,0.01986844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006505958,"threshold_uncertainty_score":0.03092104,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402915605","doi":"10.1038/s43247-024-01718-8","title":"Universal neural networks for real-time earthquake early warning trained with generalized earthquakes","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Earthquake warning system; Artificial neural network; Warning system; Seismology; Computer science; Earthquake prediction; Real-time computing; Geology; Artificial intelligence; Telecommunications","authors":[{"name":"Xiong Zhang","is_ca":false},{"name":"Miao Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01939213874520198,"gpt":0.2292833132055074,"spread":0.2098911744603054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009279528,0.0008871863,0.000618993,0.0004411276,0.000225782,0.0005191715,0.001249377,0.0007747207,0.001538902],"category_scores_gemma":[0.003599768,0.0004705072,0.0004551295,0.0006030592,0.0005667379,0.001199226,0.001326835,0.001456656,0.0003140431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796361,"about_ca_system_score_gemma":0.0007957109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133028,"about_ca_topic_score_gemma":0.01318603,"domain_scores_codex":[0.9997111,0.00006803186,0.00002140583,0.0001014405,0.00003951206,0.00005836531],"domain_scores_gemma":[0.9992637,0.0002852461,0.0001109864,0.00014402,0.0001598427,0.00003611259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005363904,0.00003101865,0.00103955,0.00003245179,0.00003317856,0.00004296012,0.00003502289,0.9317777,0.001973142,0.001864514,0.0008486718,0.0622682],"study_design_scores_gemma":[0.000001221622,0.000006167132,0.0001175916,0.000002049549,0.000002268627,0.000002991265,0.000002185388,0.998746,0.0002897758,0.000751781,0.0000758674,0.000002137649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1355902,0.000741402,0.8572406,0.0003107643,0.00007143043,0.00004355737,0.000364556,0.00400613,0.001631309],"genre_scores_gemma":[0.9241385,0.0001716438,0.07243377,0.0001205906,0.00002744208,0.00006490849,0.0005662715,0.000115033,0.0023619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133028,"threshold_uncertainty_score":0.02252865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910605965","doi":"10.4095/261333","title":"Seismic Hazard Earthquake Epicentre File (SHEEF) used in the fourth generation seismic hazard maps of Canada","year":2009,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Epicenter; Seismology; Seismic hazard; Hazard; Geology; Earthquake scenario","authors":[{"name":"S Halchuk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03017986506313379,"gpt":0.2429309331159551,"spread":0.2127510680528213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003354078,0.0006477689,0.0003793376,0.006817285,0.001463187,0.000933349,0.0009575297,0.0002916132,0.07298954],"category_scores_gemma":[0.002854525,0.0003781412,0.0003231877,0.01092947,0.0001859924,0.0005536226,0.000723388,0.0005197045,0.01914256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008711994,"about_ca_system_score_gemma":0.02334727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9605364,"about_ca_topic_score_gemma":0.9598858,"domain_scores_codex":[0.9995862,0.0000126722,0.00002406403,0.00002929188,0.0002300898,0.0001176818],"domain_scores_gemma":[0.9968912,0.0001454438,0.0001227741,0.0001758991,0.002512116,0.0001526353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001433164,0.00004533184,0.01879654,0.0004598634,0.00002593928,0.0002212626,0.0006016977,0.004852313,0.0007473048,0.00610761,0.8828179,0.08518106],"study_design_scores_gemma":[0.00004848892,0.00001672866,0.09315151,0.0001526894,0.00001943881,0.0001224706,0.0005534657,0.003119673,0.001115678,0.0006963648,0.9009462,0.00005738723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005255157,0.00007546796,0.001927886,0.00009687155,0.00002902191,0.0002729594,0.9443795,0.001112248,0.04685086],"genre_scores_gemma":[0.02635727,0.0004169022,0.006376532,0.0000539165,0.00001194447,0.0003205435,0.9277372,0.0004579194,0.03826778],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07298954,"threshold_uncertainty_score":0.2441743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2771977760","doi":"10.1785/0120170021","title":"From Relative to Absolute Teleseismic Travel Times: The Absolute Arrival‐Time Recovery Method (AARM)","year":2017,"lang":"en","type":"article","venue":"Bulletin of the Seismological Society of America","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Kingdom; Absolute (philosophy); History; Art history; Theology; Geology; Philosophy","authors":[{"name":"Alistair Boyce","is_ca":false},{"name":"I. D. Bastow","is_ca":false},{"name":"S. Rondenay","is_ca":false},{"name":"Robert D. van der Hilst","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01856202058270905,"gpt":0.2597373928257697,"spread":0.2411753722430607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128299,0.00110373,0.0004469493,0.00245791,0.0004204071,0.001148438,0.00120786,0.0006265496,0.002384214],"category_scores_gemma":[0.005186995,0.0003866056,0.0009769598,0.003366509,0.000323116,0.001421695,0.001170337,0.001048928,0.002898802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527388,"about_ca_system_score_gemma":0.002137588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351684,"about_ca_topic_score_gemma":0.0374206,"domain_scores_codex":[0.9993236,0.00005869074,0.0000606591,0.0002102346,0.0002697401,0.00007708722],"domain_scores_gemma":[0.9984618,0.0002406849,0.0002341931,0.0003914186,0.0006195336,0.00005234726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007127514,0.000247439,0.05497155,0.0008272241,0.0005950577,0.0004096958,0.0006885354,0.09725624,0.08078931,0.007233797,0.04129985,0.7149685],"study_design_scores_gemma":[0.0002435999,0.0002444018,0.1084139,0.000145795,0.0003007037,0.0009904599,0.0005511578,0.7383637,0.06365696,0.007345706,0.07945774,0.0002858671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2672623,0.001529486,0.6797678,0.0003956323,0.0003589999,0.0003047228,0.02237238,0.02002795,0.007980613],"genre_scores_gemma":[0.3183854,0.0007320518,0.621131,0.0001349264,0.0001737583,0.0002714847,0.05276207,0.002165989,0.004243281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02351684,"threshold_uncertainty_score":0.0467599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908607062","doi":"10.4095/247618","title":"A moment magnitude catalog for the 150 largest eastern Canadian earthquakes","year":2009,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Magnitude (astronomy); Moment magnitude scale; Moment (physics); Seismology; Geology; Earthquake magnitude; Geography; Geodesy; Physics; Mathematics; Geometry; Astrophysics","authors":[{"name":"A L Bent","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04303181473536705,"gpt":0.2798353949013311,"spread":0.2368035801659641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005508719,0.0007883538,0.0004540207,0.01405632,0.002140289,0.001021194,0.001158425,0.0003369506,0.01104765],"category_scores_gemma":[0.002659682,0.0003434445,0.0004785718,0.0175865,0.0002334119,0.0005826445,0.0007811133,0.000440672,0.005009837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008851252,"about_ca_system_score_gemma":0.034302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869385,"about_ca_topic_score_gemma":0.9942645,"domain_scores_codex":[0.9993808,0.00001052935,0.00004167954,0.0000644298,0.0003370369,0.0001654932],"domain_scores_gemma":[0.9927577,0.0001402391,0.000392499,0.0003126018,0.005837495,0.0005593847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003475881,0.0001439249,0.267731,0.0005307972,0.0001261234,0.0003685162,0.0009141558,0.002923979,0.005057343,0.002966491,0.5864018,0.1324882],"study_design_scores_gemma":[0.00002366067,0.00001787717,0.8555045,0.00007223606,0.000047066,0.0001250519,0.0004791374,0.001103803,0.001294861,0.0001813408,0.1411048,0.00004562111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09338954,0.0008706806,0.00130585,0.0004159476,0.00005796386,0.0002191018,0.8733274,0.0008943808,0.02951911],"genre_scores_gemma":[0.1557699,0.00167873,0.005083193,0.0001013207,0.00005566094,0.000130306,0.8080137,0.0001833267,0.02898389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01405632,"threshold_uncertainty_score":0.06422061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184045791","doi":"10.3389/feart.2021.699560","title":"Real-Time Characterization of Finite Rupture and Its Implication for Earthquake Early Warning: Application of FinDer to Existing and Planned Stations in Southwest China","year":2021,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"China Earthquake Administration; Eidgenössische Technische Hochschule Zürich; Basic and Applied Basic Research Foundation of Guangdong Province; China Scholarship Council; Strong","keywords":"Epicenter; Seismology; Waveform; Geology; Warning system; Broadband; Computer science; Source model; Earthquake prediction; Earthquake simulation; Fault (geology); Line (geometry); Geodesy; Telecommunications; Mathematics","authors":[{"name":"Jiawei Li","is_ca":false},{"name":"Maren Böse","is_ca":false},{"name":"Feng Yu","is_ca":true},{"name":"Yang Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01179217568146132,"gpt":0.2472831242702437,"spread":0.2354909485887824,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007422857,0.0004412466,0.0004059492,0.0009832105,0.000254402,0.0004127125,0.0008704275,0.0005436256,0.0003992576],"category_scores_gemma":[0.001973382,0.0002418184,0.0003072931,0.0006299132,0.0003498713,0.00058805,0.0003789204,0.0002514326,0.00006196925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321941,"about_ca_system_score_gemma":0.0007954782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03918838,"about_ca_topic_score_gemma":0.03743748,"domain_scores_codex":[0.9998406,0.0000256087,0.00001488062,0.00005993401,0.00002651368,0.00003244614],"domain_scores_gemma":[0.9993008,0.0002079732,0.0001737875,0.0001214361,0.0001146587,0.00008137104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002011175,0.0002388861,0.2828307,0.00008658191,0.00008771621,0.0006507527,0.000322165,0.6801482,0.008010714,0.0006936657,0.0004445419,0.026285],"study_design_scores_gemma":[0.00001825241,0.00004849939,0.06614277,0.000004960241,0.00001677501,0.00003358628,0.0001033562,0.9318117,0.001522858,0.0001686807,0.0001134482,0.00001501519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986483,0.00002677341,0.0009870474,0.00003052655,0.000002372041,0.000003898613,0.0001492396,0.00003823986,0.000113517],"genre_scores_gemma":[0.998463,0.00002217263,0.00114935,0.000004647826,0.000002425315,0.000003225423,0.0002789248,0.000003471579,0.00007270701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03918838,"threshold_uncertainty_score":0.07792056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}