{"meta":{"query_hash":"413183b1cbc9","filters":{"venue":"GeoHazards"},"cohort_total":20,"direct_labels_cover":0,"predictions_cover":20,"exported":20,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/413183b1cbc9","api":"https://metacan.xera.ac/api/v1/cohort?venue=GeoHazards"},"results":[{"id":"W3025747682","doi":"10.3390/geohazards1010003","title":"A Remote Sensing-Based Method to Assess Water Level Fluctuations in Wetlands in Southern Brazil","year":2020,"lang":"en","type":"article","venue":"GeoHazards","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Evapotranspiration; Wetland; Environmental science; Hydrology (agriculture); Water level; Structural basin; Satellite; Water resources; Groundwater; Remote sensing; Geography; Ecology; Geology; Cartography","score_opus":0.041033003923481026,"score_gpt":0.2912308018913497,"score_spread":0.2501977979678687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025747682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779309,0.0002986811,0.018632181,0.00005955244,0.000008892903,0.00007459583,0.0007194097,0.0001784774,0.0020973247],"genre_scores_gemma":[0.9848547,0.00008118694,0.014614111,0.0000086548625,0.0000034825002,0.00003321819,0.00024590516,0.0000066181287,0.00015199734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998505,0.000030111098,0.000015658272,0.000045258446,0.000043344357,0.000015129654],"domain_scores_gemma":[0.9997814,0.00005689936,0.000054302964,0.000020505035,0.00006680494,0.00001992238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030648257,0.00025858366,0.00018494127,0.0016845447,0.00015649454,0.00028576088,0.00021972512,0.00018478316,0.00023495205],"category_scores_gemma":[0.00078027154,0.00012860193,0.00020656975,0.0009808256,0.00013673914,0.00027599788,0.00023093415,0.000095674484,0.000059831473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015400168,0.00021011708,0.65716606,0.0002485493,0.00013957839,0.00038839353,0.0010951742,0.014539757,0.10584743,0.0007701127,0.0007229453,0.21871783],"study_design_scores_gemma":[0.000022992535,0.00011167406,0.8583123,0.000043004326,0.000071988004,0.0002966897,0.0008216115,0.13039668,0.0073928465,0.00040072418,0.0020858268,0.00004365839],"about_ca_topic_score_codex":0.022146588,"about_ca_topic_score_gemma":0.039360076,"teacher_disagreement_score":0.022146588,"about_ca_system_score_codex":0.00031480088,"about_ca_system_score_gemma":0.00035033523,"threshold_uncertainty_score":0.044035375},"labels":[],"label_agreement":null},{"id":"W3171470307","doi":"10.3390/geohazards2020008","title":"A Quantitative Approach to Assess Seismic Vulnerability of Touristic Accommodations: Case Study in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Vulnerability (computing); Downtown; Tourism; Vulnerability index; Index (typography); Vulnerability assessment; Typology; Geography; Accommodation; City centre; Environmental planning; Business; Environmental resource management; Civil engineering; Engineering; Environmental science; Computer science; Psychology; Psychological intervention","score_opus":0.03791057168903451,"score_gpt":0.28906313006301737,"score_spread":0.25115255837398287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171470307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844173,0.00036707133,0.0038802254,0.0001960978,0.0000075852713,0.00047220488,0.001460962,0.000048293863,0.009150213],"genre_scores_gemma":[0.99183416,0.0002868303,0.0045800875,0.000026548812,0.000004112723,0.000069481684,0.0004987552,0.0000090929,0.0026909697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993056,0.00016867276,0.000024501716,0.000081359954,0.00019739392,0.00022239148],"domain_scores_gemma":[0.9989792,0.00026619172,0.000100854195,0.00003535086,0.00045654993,0.0001618299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008562901,0.00093051244,0.00032288686,0.0036141514,0.002051957,0.0012956589,0.0012344386,0.0005627912,0.0016575569],"category_scores_gemma":[0.0019273603,0.00023095991,0.00054310774,0.0048190416,0.0010524056,0.00035602614,0.0008068567,0.0003661814,0.00011640383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058090896,0.0011115432,0.66743696,0.0009791736,0.00044733525,0.015140447,0.013624037,0.16290985,0.013309026,0.010770544,0.007425802,0.10626443],"study_design_scores_gemma":[0.00006599444,0.0004740633,0.72307855,0.00021379547,0.00023622386,0.00093804667,0.052872628,0.2066863,0.003637528,0.0011070925,0.010479048,0.00021069177],"about_ca_topic_score_codex":0.9774089,"about_ca_topic_score_gemma":0.98911613,"teacher_disagreement_score":0.027549319,"about_ca_system_score_codex":0.027549319,"about_ca_system_score_gemma":0.009684804,"threshold_uncertainty_score":0.19988525},"labels":[],"label_agreement":null},{"id":"W3181805752","doi":"10.3390/geohazards2030009","title":"Seismic Liquefaction Risk Assessment of Critical Facilities in Kathmandu Valley, Nepal","year":2021,"lang":"en","type":"article","venue":"GeoHazards","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Liquefaction; Soil liquefaction; Damages; Geology; Tectonics; Borehole; Urban seismic risk; Mining engineering; Seismology; Geotechnical engineering; Environmental science; Civil engineering; Seismic hazard; Engineering; Law","score_opus":0.008253381959585606,"score_gpt":0.24405515065580274,"score_spread":0.23580176869621713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181805752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806577,0.00004573754,0.0005823023,0.000050990835,7.1824854e-7,0.000015588641,0.000167962,0.000010374771,0.0010605942],"genre_scores_gemma":[0.99918264,0.000048858983,0.00043574598,0.0000044397834,5.4069324e-7,0.000009415493,0.00013466246,9.761732e-7,0.00018264592],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984336,0.00003329502,0.000012195379,0.000017200538,0.000048592305,0.00004529508],"domain_scores_gemma":[0.99970007,0.00007427651,0.00009177611,0.000011651422,0.00007688179,0.00004545657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019299904,0.00022372951,0.0001516625,0.0018649191,0.00041925965,0.00073972624,0.00031313932,0.00040431164,0.00085862406],"category_scores_gemma":[0.0008346241,0.00014522293,0.0002104851,0.0009975429,0.00018810979,0.00044487667,0.0009391682,0.00016624774,0.000097548844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015719252,0.00018949575,0.9078245,0.00014952256,0.00014990891,0.0034015586,0.0028167106,0.024514133,0.008056543,0.0013990175,0.00093226216,0.050409216],"study_design_scores_gemma":[0.000010798443,0.0002777269,0.9112376,0.00009154532,0.00008919573,0.0013779588,0.009772436,0.072220184,0.0020721084,0.00111969,0.0016982969,0.000032554504],"about_ca_topic_score_codex":0.017057842,"about_ca_topic_score_gemma":0.024846418,"teacher_disagreement_score":0.017057842,"about_ca_system_score_codex":0.0004569749,"about_ca_system_score_gemma":0.0007153037,"threshold_uncertainty_score":0.03391707},"labels":[],"label_agreement":null},{"id":"W3197251794","doi":"10.3390/geohazards2030015","title":"Reduction of Bias and Uncertainty in Regional Seismic Site Amplification Factors for Seismic Hazard and Risk Analysis","year":2021,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bedrock; Seismic hazard; Geology; Seismology; Seismic risk; Natural hazard; Amplification factor; Shear (geology); Geomorphology; Oceanography; Paleontology; Engineering","score_opus":0.021010988841679203,"score_gpt":0.23997993377242505,"score_spread":0.21896894493074584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197251794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1490195,0.00030436146,0.846812,0.00017219137,0.000045856843,0.00019083399,0.0005225988,0.0012114119,0.0017211527],"genre_scores_gemma":[0.68119115,0.00013730575,0.31609342,0.000108728265,0.00008442978,0.0002230355,0.0009443207,0.0004680474,0.00074961677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98316574,0.010536968,0.0011438453,0.0019036364,0.002861025,0.00038869545],"domain_scores_gemma":[0.8919838,0.077494666,0.0061777183,0.014525401,0.009406798,0.00041163288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032757733,0.0010638407,0.001062612,0.0024753155,0.00041456442,0.0016258925,0.001235519,0.0008357283,0.0013940565],"category_scores_gemma":[0.13027318,0.00056286954,0.0012017008,0.002274563,0.00075285975,0.0015748611,0.0026224023,0.0012137914,0.0004327497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010073591,0.00026583314,0.13968113,0.00035746864,0.0011298006,0.00032185408,0.0012678375,0.41330138,0.014325383,0.018376704,0.0025992116,0.40736604],"study_design_scores_gemma":[0.00007943098,0.0002105678,0.03953937,0.00008517565,0.0001583855,0.00015497878,0.00020697889,0.93303925,0.008923344,0.01432348,0.003180674,0.00009830798],"about_ca_topic_score_codex":0.0047554392,"about_ca_topic_score_gemma":0.006091159,"teacher_disagreement_score":0.032757733,"about_ca_system_score_codex":0.00085334363,"about_ca_system_score_gemma":0.0012187313,"threshold_uncertainty_score":0.1732415},"labels":[],"label_agreement":null},{"id":"W4200343524","doi":"10.3390/geohazards2040022","title":"Potential Fault Displacement Hazard Assessment Using Stochastic Source Models: A Retrospective Evaluation for the 1999 Hector Mine Earthquake","year":2021,"lang":"en","type":"article","venue":"GeoHazards","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fault (geology); Displacement (psychology); Seismic hazard; Hazard; Seismology; Hazard analysis; Probabilistic logic; Geology; Engineering; Reliability engineering; Statistics; Mathematics","score_opus":0.03723132720387742,"score_gpt":0.2883193130649558,"score_spread":0.2510879858610784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200343524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383295,0.000037756618,0.0055629206,0.000025282709,0.0000011711696,0.00001712101,0.00013609602,0.00002750158,0.00035916193],"genre_scores_gemma":[0.99800676,0.000034378692,0.0016811402,0.0000020487823,0.0000014545566,0.0000047457734,0.00014928369,0.000002559369,0.00011769982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974066,0.0001077786,0.000018998002,0.000034490553,0.00008298374,0.000015221667],"domain_scores_gemma":[0.99873513,0.00055244216,0.0002540188,0.00013082678,0.00029081493,0.000036621204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112329,0.00030466035,0.00027162165,0.0007813069,0.00014525202,0.0002840366,0.00034337988,0.00039002136,0.00031629484],"category_scores_gemma":[0.00295753,0.00019771272,0.0002805344,0.00038481614,0.00018820129,0.0004533067,0.00035720944,0.00020595654,0.00008532559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073018746,0.00040222422,0.4488202,0.00012312552,0.00016608738,0.0012927616,0.0007078988,0.4809844,0.013796658,0.001349114,0.0006021505,0.05102523],"study_design_scores_gemma":[0.000028334225,0.00087900116,0.14409119,0.000012934602,0.00006163602,0.00040883917,0.00042434633,0.8480573,0.005042786,0.00042493944,0.00052574347,0.00004299335],"about_ca_topic_score_codex":0.0098202815,"about_ca_topic_score_gemma":0.015809309,"teacher_disagreement_score":0.0098202815,"about_ca_system_score_codex":0.00048482066,"about_ca_system_score_gemma":0.00027758387,"threshold_uncertainty_score":0.019526243},"labels":[],"label_agreement":null},{"id":"W4223510495","doi":"10.3390/geohazards3020010","title":"Modelling the Roles of Community-Based Organisations in Post-Disaster Transformative Adaptation","year":2022,"lang":"en","type":"article","venue":"GeoHazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Response Biomedical (Canada); York University","funders":"","keywords":"Transformative learning; Vulnerability (computing); Hazard; Adaptation (eye); Construct (python library); Public relations; Knowledge management; Sociology; Political science; Psychology; Computer science; Computer security","score_opus":0.04075499027466147,"score_gpt":0.2832724427812674,"score_spread":0.24251745250660592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223510495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7240326,0.0008227394,0.14477687,0.005169931,0.00009544767,0.00039262083,0.00030347708,0.00012055273,0.12428582],"genre_scores_gemma":[0.98570746,0.0003019767,0.010074572,0.00004765278,0.000008468143,0.00013554096,0.000051499104,0.0000099368035,0.0036630298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864656,0.0009368446,0.000036010115,0.00010495309,0.00009075054,0.00018498849],"domain_scores_gemma":[0.9970552,0.001925453,0.00029692735,0.0001685155,0.0001964686,0.0003575307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020535942,0.00039153532,0.00025578833,0.0009424808,0.0015912139,0.003845166,0.0014289097,0.001676829,0.004301683],"category_scores_gemma":[0.0045531387,0.00031894108,0.00053872354,0.0009719988,0.0023735745,0.0034306129,0.0037982988,0.0010457669,0.0004055034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019229215,0.00038753316,0.03348504,0.0002555511,0.00009436618,0.0016628498,0.034515325,0.44980466,0.0012570182,0.45309192,0.0018932467,0.023360211],"study_design_scores_gemma":[0.00009011893,0.0002206875,0.008401406,0.00029030992,0.000065728374,0.00027550524,0.049444836,0.73342663,0.0005001026,0.17195867,0.03525249,0.000073594456],"about_ca_topic_score_codex":0.019015817,"about_ca_topic_score_gemma":0.018624881,"teacher_disagreement_score":0.019015817,"about_ca_system_score_codex":0.0031499055,"about_ca_system_score_gemma":0.0035791853,"threshold_uncertainty_score":0.037810266},"labels":[],"label_agreement":null},{"id":"W4281255567","doi":"10.3390/geohazards3020015","title":"Prospective Fault Displacement Hazard Assessment for Leech River Valley Fault Using Stochastic Source Modeling and Okada Fault Displacement Equations","year":2022,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Fault (geology); Seismic hazard; Displacement (psychology); Geology; Seismology; Probabilistic logic; Monte Carlo method; Hazard; Structural engineering; Engineering; Statistics; Mathematics","score_opus":0.017452900191682025,"score_gpt":0.27159443716115944,"score_spread":0.2541415369694774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281255567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5099269,0.00021891818,0.48657447,0.0001299831,0.000008741933,0.000034414315,0.00012202634,0.00010168977,0.0028828883],"genre_scores_gemma":[0.9871875,0.00008583124,0.012009389,0.0000064313967,0.00000256684,0.000014346562,0.000059110112,0.0000070184783,0.0006277494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998791,0.000034247027,0.000006712789,0.000020092166,0.000044135217,0.000015717593],"domain_scores_gemma":[0.9998,0.00009799945,0.000038843587,0.00000954381,0.000044034194,0.000009673195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645242,0.00033444882,0.00021462524,0.0004523704,0.00016333305,0.00039031278,0.00039729016,0.00032302324,0.00042673494],"category_scores_gemma":[0.00073274184,0.00020082026,0.00023907426,0.00026792282,0.00021086457,0.0003983887,0.0003749373,0.00025265242,0.00005558304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027147176,0.00001400993,0.0072892476,0.000024315896,0.000016337412,0.00008756282,0.00005984412,0.9718062,0.002439808,0.0047534113,0.00011430827,0.013367764],"study_design_scores_gemma":[0.000001944822,0.000006974773,0.0009986558,0.000001472138,0.0000024150809,0.0000104289375,0.000011190783,0.9981194,0.0002698731,0.000483022,0.000091334376,0.0000032194584],"about_ca_topic_score_codex":0.031230606,"about_ca_topic_score_gemma":0.027611189,"teacher_disagreement_score":0.031230606,"about_ca_system_score_codex":0.0006260002,"about_ca_system_score_gemma":0.0008611505,"threshold_uncertainty_score":0.06209761},"labels":[],"label_agreement":null},{"id":"W4366825515","doi":"10.3390/geohazards4020008","title":"Fault Slip Tendency Analysis for a Deep-Sea Basalt CO2 Injection in the Cascadia Basin","year":2023,"lang":"en","type":"article","venue":"GeoHazards","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Remotely Operated Platform for Ocean Sciences; Geological Survey of Canada; Natural Resources Canada; Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Geology; Basalt; Induced seismicity; Structural basin; Carbon sequestration; Submarine pipeline; Seismology; Slip (aerodynamics); Permeability (electromagnetism); Crust; Carbonate; Pore water pressure; Injection well; Aquifer; Petrology; Geochemistry; Oceanography; Geotechnical engineering; Petroleum engineering; Geomorphology; Carbon dioxide; Groundwater","score_opus":0.024549374618154943,"score_gpt":0.2546285812044891,"score_spread":0.23007920658633418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366825515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942267,0.000010392929,0.00015425848,0.0000074501427,7.258247e-7,0.00000267303,0.00011855856,0.00001254405,0.00027077497],"genre_scores_gemma":[0.99962044,0.000008136855,0.000086293876,0.0000011549334,4.205691e-7,0.0000014195969,0.00015245135,0.0000015451915,0.00012792704],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989724,0.000012206765,0.000014587782,0.000026391945,0.000028261977,0.000021350766],"domain_scores_gemma":[0.9995111,0.00011955394,0.0001201027,0.000030643732,0.00014783611,0.00007073845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020789003,0.0002554425,0.00022060532,0.0016197484,0.0002462143,0.00045966025,0.00019221338,0.00025734236,0.0010626474],"category_scores_gemma":[0.0007702469,0.00015521796,0.0003064373,0.0010355193,0.00020811196,0.00016245656,0.0001924551,0.00016455974,0.00011680545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027829254,0.000082048435,0.9326454,0.00004377202,0.00009042499,0.0009841095,0.00034383094,0.046110477,0.010327991,0.00016986554,0.00030495308,0.0086188],"study_design_scores_gemma":[0.0000070326564,0.00007689301,0.93198377,0.000005936753,0.00003143149,0.00013758503,0.00043791078,0.06600507,0.0011116747,0.000047862624,0.00014231354,0.000012442409],"about_ca_topic_score_codex":0.04750821,"about_ca_topic_score_gemma":0.056313418,"teacher_disagreement_score":0.04750821,"about_ca_system_score_codex":0.0006692596,"about_ca_system_score_gemma":0.0003394236,"threshold_uncertainty_score":0.09446335},"labels":[],"label_agreement":null},{"id":"W4381511296","doi":"10.3390/geohazards4030013","title":"Probabilistic Tsunami Hazard Analysis for Vancouver Island Coast Using Stochastic Rupture Models for the Cascadia Subduction Earthquakes","year":2023,"lang":"en","type":"article","venue":"GeoHazards","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Subduction; Seismology; Geology; Hazard; Tsunami earthquake; Return period; Seismic hazard; Probabilistic logic; Geography; Statistics; Tectonics","score_opus":0.04032128509806295,"score_gpt":0.2548573924305723,"score_spread":0.21453610733250936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381511296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.808991,0.00066342525,0.18043397,0.00056223734,0.000035607805,0.00007459514,0.0008305277,0.00023084763,0.008177826],"genre_scores_gemma":[0.99311745,0.0002743921,0.0031588783,0.000019183875,0.000011952913,0.000032206823,0.0003279236,0.00001605988,0.0030420574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998331,0.000035145396,0.000009486449,0.00003755622,0.000041941727,0.000042663723],"domain_scores_gemma":[0.9995148,0.00020074495,0.000095179,0.000021300875,0.0001307435,0.000037240938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045247196,0.0007730681,0.00039128217,0.0006007808,0.00042174372,0.0009801525,0.0010177487,0.00067497196,0.001128489],"category_scores_gemma":[0.0011279925,0.00039857425,0.0007743591,0.0005199924,0.00036515898,0.00039936614,0.0005657875,0.0006998719,0.00018968215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010285556,0.000010049849,0.0021542544,0.000006569259,0.000014947307,0.000072609495,0.000015154023,0.9948025,0.0003378989,0.0011086095,0.00010619419,0.0013610439],"study_design_scores_gemma":[0.0000011569732,0.0000032346006,0.00067083293,0.0000010540049,0.000003587619,0.0000073382976,0.0000069280236,0.99894327,0.000026642254,0.00027090588,0.00006222047,0.000002743589],"about_ca_topic_score_codex":0.2574257,"about_ca_topic_score_gemma":0.15272471,"teacher_disagreement_score":0.74257433,"about_ca_system_score_codex":0.0018444001,"about_ca_system_score_gemma":0.0018452395,"threshold_uncertainty_score":0.51185465},"labels":[],"label_agreement":null},{"id":"W4387060357","doi":"10.3390/geohazards4040020","title":"Flooding and Waste Disposal Practices of Urban Residents in Nigeria","year":2023,"lang":"en","type":"article","venue":"GeoHazards","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Environmental planning; Flooding (psychology); Flood myth; Business; Waste disposal; Work (physics); Sustainability; Municipal solid waste; Environmental resource management; Engineering; Waste management; Environmental science; Geography","score_opus":0.041793286577046306,"score_gpt":0.3332327213741748,"score_spread":0.2914394347971285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387060357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994867,0.000070487156,0.000011192388,0.00007625085,0.0000010160696,0.000002603672,0.000006046086,2.8256056e-7,0.0003452575],"genre_scores_gemma":[0.99932146,0.00032020608,0.000035465677,0.000032883265,0.0000013834391,0.000003807643,0.000007531997,4.219066e-7,0.0002767975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976665,0.00011866079,0.000020842795,0.000016533199,0.00003248259,0.000044756394],"domain_scores_gemma":[0.9996275,0.00011796913,0.00013710746,0.000013570415,0.000047820824,0.00005601821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037728134,0.00013332082,0.00018692134,0.00031224499,0.0012121444,0.00059556117,0.00016283481,0.00033954336,0.0011468175],"category_scores_gemma":[0.0011565958,0.00021160473,0.00008979752,0.00048112523,0.0008800702,0.0005432674,0.0007417536,0.00033836585,0.000108249624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009633098,0.00020911783,0.508448,0.00024544366,0.00001269299,0.0029486758,0.46201763,0.00012534214,0.002815215,0.00061977917,0.0004743947,0.021987349],"study_design_scores_gemma":[0.0000026330806,0.00034313888,0.29771757,0.00016360961,0.000010790782,0.0011497803,0.6966792,0.00010293676,0.00033379928,0.00019249413,0.003283197,0.0000208821],"about_ca_topic_score_codex":0.011861719,"about_ca_topic_score_gemma":0.030719865,"teacher_disagreement_score":0.011861719,"about_ca_system_score_codex":0.00045989561,"about_ca_system_score_gemma":0.0007760656,"threshold_uncertainty_score":0.02358532},"labels":[],"label_agreement":null},{"id":"W4387859733","doi":"10.3390/geohazards4040023","title":"Influence of the 2020 Seismic Hazard Update on Residential Losses in Greater Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Seismic hazard; Building code; Alluvium; Return period; Hazard; Seismic risk; Seismology; Population; Environmental science; Geography; Geology; Civil engineering; Archaeology; Engineering; Flood myth; Demography","score_opus":0.004511889099418203,"score_gpt":0.19294706820502966,"score_spread":0.18843517910561144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387859733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785503,0.0017001149,0.002198538,0.0046872096,0.000082765844,0.00016501038,0.07892483,0.000511752,0.033179574],"genre_scores_gemma":[0.97369283,0.0007301302,0.0004825346,0.0002399725,0.00001469323,0.000022745538,0.016565131,0.000042522635,0.008209372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991374,0.000067397974,0.00002654934,0.00006849572,0.000502838,0.00019724687],"domain_scores_gemma":[0.99700624,0.00015633166,0.0002971306,0.00009428541,0.002130259,0.0003156797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000668387,0.00042600458,0.00021228737,0.0011394661,0.00068497023,0.0018058452,0.001089538,0.00032279606,0.0062770573],"category_scores_gemma":[0.004073278,0.00016043869,0.0004117537,0.0014600008,0.00029924494,0.00046526897,0.0008910164,0.00045243336,0.00043439795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029157562,0.00009581357,0.84075797,0.00015607646,0.00018556825,0.00045565446,0.00047830594,0.0351261,0.001010358,0.0023394062,0.054902952,0.06420025],"study_design_scores_gemma":[0.000011275715,0.0000380321,0.94412583,0.00007022867,0.00003972922,0.00009865426,0.0009538078,0.017813966,0.00063034904,0.00017967517,0.036005568,0.00003282336],"about_ca_topic_score_codex":0.9915549,"about_ca_topic_score_gemma":0.9929396,"teacher_disagreement_score":0.02687401,"about_ca_system_score_codex":0.02687401,"about_ca_system_score_gemma":0.018494358,"threshold_uncertainty_score":0.19498545},"labels":[],"label_agreement":null},{"id":"W4391430976","doi":"10.3390/geohazards5010005","title":"ENSO Impacts on Jamaican Rainfall Patterns: Insights from CHIRPS High-Resolution Data for Disaster Risk Management","year":2024,"lang":"en","type":"article","venue":"GeoHazards","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Agriculture and Agri-Food Canada","funders":"","keywords":"El Niño Southern Oscillation; Risk management; Climatology; Environmental science; Emergency management; Geography; Meteorology; Environmental resource management; Business; Geology; Economics; Economic growth; Finance","score_opus":0.024614928028842305,"score_gpt":0.26377484620558117,"score_spread":0.23915991817673887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391430976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919299,0.00029219207,0.00036722425,0.0003463707,0.000012461338,0.000012510995,0.0038286273,0.000033484474,0.0031772566],"genre_scores_gemma":[0.9965912,0.0002824772,0.00037365392,0.000024601435,0.000025177014,0.0000068801505,0.0023227332,0.000005475091,0.00036776837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989724,0.00003050363,0.000008574553,0.000022541484,0.000022402228,0.000018767525],"domain_scores_gemma":[0.99956304,0.00014596354,0.00011408118,0.000057587582,0.000061074206,0.000058246518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026445737,0.00020080802,0.00013138687,0.0008946813,0.00026427364,0.00061186956,0.00016828779,0.00015663622,0.0010940082],"category_scores_gemma":[0.0010327362,0.0000651169,0.00014392956,0.0014545151,0.00020981046,0.00031352136,0.00041333935,0.0002449506,0.00012542814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008366392,0.000050536393,0.95849127,0.000051650037,0.000074881085,0.00058260857,0.00044868063,0.011323864,0.0016098048,0.0004721763,0.002308487,0.024502365],"study_design_scores_gemma":[0.000004553405,0.000011118452,0.98097974,0.000023184733,0.0000141233495,0.000047204478,0.00080963667,0.015116443,0.00015000236,0.00015960603,0.0026783037,0.0000062051745],"about_ca_topic_score_codex":0.051246088,"about_ca_topic_score_gemma":0.08273723,"teacher_disagreement_score":0.051246088,"about_ca_system_score_codex":0.00041004643,"about_ca_system_score_gemma":0.00044250712,"threshold_uncertainty_score":0.10189557},"labels":[],"label_agreement":null},{"id":"W4400284626","doi":"10.3390/geohazards5030032","title":"A Virtual Reality Simulation of a Real Landslide for Education and Training: Case of Chiradzulu, Malawi, 2023 Landslide","year":2024,"lang":"en","type":"article","venue":"GeoHazards","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Landslide; Terrain; Virtual reality; Computer science; Situational ethics; Training (meteorology); Cyclone (programming language); Simulation; Geology; Human–computer interaction; Geotechnical engineering; Geography; Cartography; Meteorology; Psychology","score_opus":0.021181874716429586,"score_gpt":0.2995509260923898,"score_spread":0.27836905137596024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400284626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616873,0.0003146093,0.010571762,0.0016723726,0.00008308609,0.00021367971,0.0004161122,0.0001413761,0.024899675],"genre_scores_gemma":[0.9892757,0.00019557771,0.005029051,0.00005549089,0.0000050156873,0.00007237977,0.00012905564,0.0000115857565,0.00522612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975973,0.00011629876,0.000007966518,0.000016284028,0.00003304386,0.00006662909],"domain_scores_gemma":[0.99971145,0.00013087316,0.000016141184,0.000020847527,0.00003697285,0.00008376816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037461024,0.0004020973,0.00021527657,0.0004271346,0.0017293377,0.0013121145,0.0006443961,0.0015265617,0.0055398783],"category_scores_gemma":[0.00077053806,0.00020700252,0.00037369764,0.00038848954,0.0012274992,0.00063372246,0.0011600698,0.0006777204,0.0004083513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012115473,0.0019110587,0.044050876,0.00091002457,0.00011326021,0.06772945,0.03152742,0.71526414,0.01766117,0.04304974,0.014606676,0.061964627],"study_design_scores_gemma":[0.00048709218,0.0015715112,0.0499478,0.0006851024,0.00014198692,0.0077297287,0.054984264,0.7474876,0.011563288,0.0075803483,0.11757759,0.00024364865],"about_ca_topic_score_codex":0.041078173,"about_ca_topic_score_gemma":0.07548415,"teacher_disagreement_score":0.041078173,"about_ca_system_score_codex":0.0015358377,"about_ca_system_score_gemma":0.0014889423,"threshold_uncertainty_score":0.08167815},"labels":[],"label_agreement":null},{"id":"W4407088858","doi":"10.3390/geohazards6010006","title":"The Central Mindoro Fault: An Active Sinistral Fault Within the Translational Boundary Between the Palawan Microcontinental Block and the Philippine Mobile Belt","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Sinistral and dextral; Fault (geology); Block (permutation group theory); Seismology; Geology; Boundary (topology); Normal fault; Geometry; Mathematics","score_opus":0.0069879799223420795,"score_gpt":0.22080802574007893,"score_spread":0.21382004581773686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407088858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950494,0.0002654153,0.00034297028,0.000107762266,0.0000046442506,0.000015081621,0.00009856583,0.000022495395,0.0040936773],"genre_scores_gemma":[0.9991215,0.00007350376,0.00035581796,0.000011030735,0.0000030023232,0.0000031118125,0.000059507514,0.0000014532318,0.00037108603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999946,0.00000559738,0.0000031314098,0.000016448525,0.000013146214,0.000015733613],"domain_scores_gemma":[0.9998529,0.000009533571,0.00007000096,0.000009643494,0.000025991389,0.00003199652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010436111,0.00017763009,0.00011006291,0.000583956,0.0005003948,0.0004664884,0.0002418585,0.00018969028,0.0010779492],"category_scores_gemma":[0.00022527218,0.00010162625,0.000077270684,0.0005736421,0.0006656684,0.00033954627,0.00071337615,0.00016517534,0.00013854785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033695303,0.00005983433,0.8422647,0.00019870659,0.000028458395,0.0026738115,0.003482391,0.00082960195,0.059713285,0.0025186306,0.0008520674,0.08704156],"study_design_scores_gemma":[0.00000994849,0.00008789208,0.9915194,0.000029586265,0.0000118734,0.0010092568,0.0012317005,0.0006737012,0.0018321769,0.00021688889,0.0033684801,0.000009104468],"about_ca_topic_score_codex":0.032580186,"about_ca_topic_score_gemma":0.05298894,"teacher_disagreement_score":0.032580186,"about_ca_system_score_codex":0.0005269236,"about_ca_system_score_gemma":0.0008176608,"threshold_uncertainty_score":0.06478113},"labels":[],"label_agreement":null},{"id":"W4408026641","doi":"10.3390/geohazards6010010","title":"Assessing Future Changes in Mean Radiant Temperature: Considering Climate Change and Urban Development Impacts in Fredericton, New Brunswick, Canada, by 2050","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"","keywords":"Climate change; Mean radiant temperature; Climatology; Environmental science; Geography; Physical geography; Oceanography; Geology","score_opus":0.010695738920116507,"score_gpt":0.22054679715267045,"score_spread":0.20985105823255396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408026641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98116297,0.00044283725,0.0022744464,0.0007169125,0.000024149864,0.000075875665,0.0048167277,0.000045527115,0.010440629],"genre_scores_gemma":[0.993306,0.00033270483,0.0018682148,0.00007066738,0.0000028159056,0.000024843801,0.0015982584,0.000011333349,0.0027851867],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976903,0.000026898457,0.0000074097284,0.00003951092,0.00007084063,0.00008642794],"domain_scores_gemma":[0.9997391,0.000021764421,0.000027744569,0.000009360591,0.00015815941,0.000043797485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003245466,0.0003586559,0.00020180766,0.00061558216,0.00088875246,0.0012208364,0.0008463725,0.0003637038,0.0013992158],"category_scores_gemma":[0.00062889815,0.00017111572,0.0004161675,0.0014681568,0.0003226416,0.0004544281,0.00049064175,0.00039049867,0.00014195892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002434002,0.00009750387,0.81262076,0.00016131479,0.00022212221,0.0009522327,0.00082191377,0.12537614,0.0050389008,0.0025695893,0.004735921,0.04716016],"study_design_scores_gemma":[0.00002176361,0.00006705569,0.8748065,0.00006777848,0.00010012883,0.00010590589,0.0053806463,0.105077855,0.002411989,0.00051468896,0.011371693,0.00007388855],"about_ca_topic_score_codex":0.98891836,"about_ca_topic_score_gemma":0.9961234,"teacher_disagreement_score":0.026741903,"about_ca_system_score_codex":0.026741903,"about_ca_system_score_gemma":0.019897422,"threshold_uncertainty_score":0.194027},"labels":[],"label_agreement":null},{"id":"W4410602179","doi":"10.3390/geohazards6020022","title":"Earthquake Scenarios for Seismic Performance Assessment of Essential Facilities: Case Study of Fire Stations in Montreal","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Seismology; Earthquake scenario; Urban seismic risk; Seismic microzonation; Seismic hazard; Environmental science; Forensic engineering; Geology; Engineering","score_opus":0.008535062561318627,"score_gpt":0.2669025840099188,"score_spread":0.25836752144860015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410602179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946694,0.000043420157,0.0019059831,0.00007721194,0.0000030924177,0.00011524023,0.0007693989,0.00004376588,0.0023725138],"genre_scores_gemma":[0.9974842,0.000054673095,0.0013808399,0.000008550077,0.0000015806702,0.000026511227,0.0003547797,0.0000049740866,0.0006839516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997392,0.0000790214,0.000009220534,0.000033725253,0.00004711717,0.000091792404],"domain_scores_gemma":[0.99938893,0.0002379914,0.000078524805,0.000033934717,0.00014105068,0.00011949783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056389027,0.0011286164,0.0003334262,0.0008139012,0.0008155692,0.00070738443,0.0015214839,0.0008778981,0.0018718321],"category_scores_gemma":[0.0014886524,0.00038931353,0.0005850914,0.0012698185,0.00055911904,0.00043472872,0.00056835456,0.00053094607,0.00012078341],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019850404,0.00026395178,0.04553224,0.00006236,0.00007430645,0.0013441445,0.00016750251,0.9427339,0.0026595364,0.0012961464,0.0006688034,0.0049986416],"study_design_scores_gemma":[0.00010550001,0.0003269371,0.06681282,0.000014425402,0.00007037534,0.000112066555,0.0008193403,0.9287687,0.0017170229,0.00035122497,0.00084584736,0.000055813307],"about_ca_topic_score_codex":0.8090964,"about_ca_topic_score_gemma":0.86147255,"teacher_disagreement_score":0.1909036,"about_ca_system_score_codex":0.0119988,"about_ca_system_score_gemma":0.0028867263,"threshold_uncertainty_score":0.38405573},"labels":[],"label_agreement":null},{"id":"W4410959203","doi":"10.3390/geohazards6020026","title":"Rapid Computation of Seismic Loss Curves for Canadian Buildings Using Tail Approximation Method","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Computation; Geology; Computer science; Geometry; Mathematics; Algorithm","score_opus":0.014368618217425622,"score_gpt":0.27272726001651165,"score_spread":0.258358641799086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410959203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08896633,0.000106673084,0.895889,0.000097912816,0.00002051045,0.00006261157,0.00088525563,0.0033630743,0.010608675],"genre_scores_gemma":[0.7956452,0.0002145895,0.19595234,0.000045760084,0.0000106507,0.00007797753,0.001509563,0.0005431111,0.0060009058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998179,0.000017684693,0.000008500419,0.000021730897,0.00009705937,0.000037249953],"domain_scores_gemma":[0.9995449,0.00014307987,0.00004097947,0.000039855415,0.00019916082,0.00003199243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036052422,0.00078195747,0.0002959698,0.0014176483,0.00048725458,0.00074628816,0.00077127374,0.00037783166,0.004884126],"category_scores_gemma":[0.0018815706,0.00028264188,0.0005523339,0.00085863506,0.00026365125,0.00052637624,0.00077328103,0.0005390887,0.00074279733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004787281,0.000015505797,0.0043474482,0.000036064197,0.000012825455,0.00010715216,0.0000802453,0.92543775,0.002866451,0.005163926,0.0017397306,0.060144976],"study_design_scores_gemma":[0.0000020146965,0.000004638265,0.0006113143,0.0000034761933,0.0000017127818,0.000019222985,0.00001567494,0.9966067,0.0007831071,0.00097017246,0.00097621535,0.000005760739],"about_ca_topic_score_codex":0.23741919,"about_ca_topic_score_gemma":0.26333123,"teacher_disagreement_score":0.7625808,"about_ca_system_score_codex":0.0021725604,"about_ca_system_score_gemma":0.002678339,"threshold_uncertainty_score":0.4720745},"labels":[],"label_agreement":null},{"id":"W4414062695","doi":"10.3390/geohazards6030053","title":"Seismic Assessment of Concrete Gravity Dam via Finite Element Modelling","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gravity dam; Finite element method; Dam failure; Seismic risk; Foundation (evidence); Seismic analysis; Seismic hazard; Induced seismicity","score_opus":0.007898989020866339,"score_gpt":0.2374991989661054,"score_spread":0.22960020994523908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414062695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80241954,0.00016343647,0.19122078,0.00008914024,0.000009455419,0.000085908985,0.00023053383,0.00040338928,0.005377806],"genre_scores_gemma":[0.9804951,0.000072467104,0.01822223,0.0000054165034,0.0000019742665,0.000038252147,0.00009504243,0.00001675437,0.001052759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998512,0.000046181194,0.000009379461,0.000016002024,0.0000587869,0.000018418972],"domain_scores_gemma":[0.9997501,0.00012555001,0.000036251386,0.000021839825,0.00005464694,0.000011591811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003790807,0.000465968,0.00027348692,0.0005508263,0.00018507674,0.0004000158,0.00043855803,0.00066329894,0.0009545762],"category_scores_gemma":[0.00092884054,0.00026495807,0.00035003794,0.0002466553,0.00031103694,0.0003257214,0.00034837384,0.00021172015,0.0002184138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023035556,0.000020019079,0.0016093762,0.000018255187,0.00000703101,0.00002569155,0.000035017296,0.98540664,0.007026155,0.0003613553,0.000039071136,0.0054283147],"study_design_scores_gemma":[0.0000013814828,0.000011563848,0.0006123941,0.000002027734,0.0000017127728,0.0000041872936,0.000008296353,0.998408,0.0007896267,0.00006278129,0.0000954003,0.0000025908955],"about_ca_topic_score_codex":0.014261286,"about_ca_topic_score_gemma":0.014549854,"teacher_disagreement_score":0.014261286,"about_ca_system_score_codex":0.0006215886,"about_ca_system_score_gemma":0.00056056597,"threshold_uncertainty_score":0.028356552},"labels":[],"label_agreement":null},{"id":"W4414246770","doi":"10.3390/geohazards6030057","title":"Relative Uplift Rates Along the Central Mindoro Fault, Philippines","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Nuclear Safety Commission","funders":"","keywords":"Sinistral and dextral; Context (archaeology); Spatial distribution; Fault (geology); Archipelago; Oblique case; Mountain range (options)","score_opus":0.011825637950340799,"score_gpt":0.23804882412395573,"score_spread":0.22622318617361492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414246770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994024,0.000047287132,0.000060902126,0.000011822562,6.9486043e-7,0.0000017633928,0.00009363728,0.000009754568,0.00037166043],"genre_scores_gemma":[0.9996848,0.000038488968,0.000069196554,0.0000022018148,0.000001774118,0.0000019021222,0.000101799,0.0000012740211,0.000098560515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999008,0.0000143622465,0.000009091076,0.000028777096,0.000022143571,0.00002483908],"domain_scores_gemma":[0.9994342,0.00006722128,0.00023346914,0.000027810693,0.00016969033,0.00006758188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020181591,0.00022650066,0.00013020603,0.0017082421,0.00029682886,0.00040386635,0.00019037993,0.00015399011,0.0006825754],"category_scores_gemma":[0.00081483705,0.00009863877,0.00008326157,0.0010491522,0.0003503544,0.00034072384,0.0003886283,0.00015235099,0.000107276705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075163014,0.0000187422,0.9666821,0.00004387792,0.000028926786,0.00048632093,0.0023447631,0.0010943328,0.0073894556,0.00014639774,0.0002432297,0.02144674],"study_design_scores_gemma":[8.377976e-7,0.000017412953,0.99853206,0.000004027642,0.000003508683,0.00010813561,0.00043755956,0.00041663088,0.00021117661,0.000015867243,0.00024911299,0.0000035745772],"about_ca_topic_score_codex":0.020634629,"about_ca_topic_score_gemma":0.025828697,"teacher_disagreement_score":0.020634629,"about_ca_system_score_codex":0.00035186435,"about_ca_system_score_gemma":0.0002051461,"threshold_uncertainty_score":0.041029036},"labels":[],"label_agreement":null},{"id":"W4415820369","doi":"10.3390/geohazards6040072","title":"Assessing Geological Hazards in a Changing World Through Regional Multidisciplinary Approaches to European Glacial Lakes (Northern Pyrenees, Northern and Western Alps)","year":2025,"lang":"en","type":"article","venue":"GeoHazards","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"","keywords":"Glacial period; Holocene; Flood myth; Sedimentary rock; Tributary; Massif; Karst; Glacial lake; Moraine","score_opus":0.09469783506165404,"score_gpt":0.29757334377346706,"score_spread":0.20287550871181304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415820369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978269,0.00029903083,0.0008285534,0.0000796516,0.000001243727,0.00001620908,0.000059200403,0.000005218847,0.0008840482],"genre_scores_gemma":[0.9985979,0.0001616372,0.0009775872,0.000013201084,0.0000033604977,0.000009136225,0.000057740028,0.0000013056678,0.00017818372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996232,0.0001676103,0.000019531195,0.00008092862,0.000050175215,0.00005852621],"domain_scores_gemma":[0.9995382,0.000117579424,0.00018775399,0.00002578543,0.000068410816,0.0000622457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008768055,0.00032834033,0.00020978045,0.002198287,0.00058549916,0.0014097857,0.00026402203,0.0002667443,0.00044618902],"category_scores_gemma":[0.0014811731,0.00012902594,0.0002430444,0.0013473916,0.00039667348,0.00065149914,0.0013613319,0.00015952678,0.000039290844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006102437,0.00007608111,0.90432876,0.0000685806,0.00038822775,0.0006570593,0.0041933637,0.015768824,0.0036007008,0.00069418293,0.00019831816,0.069964774],"study_design_scores_gemma":[0.0000042372344,0.000055767905,0.9871623,0.00002684333,0.00007155689,0.000101092664,0.0046921754,0.00558933,0.0003103728,0.00046905133,0.001507876,0.000009329],"about_ca_topic_score_codex":0.051256374,"about_ca_topic_score_gemma":0.1345676,"teacher_disagreement_score":0.051256374,"about_ca_system_score_codex":0.001460173,"about_ca_system_score_gemma":0.00079110585,"threshold_uncertainty_score":0.101916015},"labels":[],"label_agreement":null}]}