{"meta":{"query_hash":"d083ea9f1f49","filters":{"venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"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/d083ea9f1f49","api":"https://metacan.xera.ac/api/v1/cohort?venue=15th+Conference+on+Cloud+Physics%2F15th+Conference+on+Atmospheric+Radiation"},"results":[{"id":"W2799372251","doi":"","title":"Aerosol Impact on Warm Rain Initiation in Turbulent Clouds Using Direct Numerical Simulation (DNS)","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Aerosol; Meteorology; Atmospheric sciences; Turbulence; Environmental science; Direct numerical simulation; Mechanics; Geology; Physics; Reynolds number","score_opus":0.037058152419161966,"score_gpt":0.3075244044758644,"score_spread":0.2704662520567024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799372251","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":[0.9959841,0.0001403704,0.001040622,0.000051114584,0.00003698678,0.000016437016,0.00028414262,0.00011971644,0.002326398],"genre_scores_gemma":[0.9992879,0.00003661947,0.00036477033,0.000007060576,0.0000057951243,0.0000038365215,0.00011935683,0.000013553353,0.00016101505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986386,0.000018399385,0.000011774056,0.000030899395,0.000027273249,0.000047766534],"domain_scores_gemma":[0.99933845,0.00027208464,0.00006544989,0.00005102057,0.00015503538,0.0001180105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030968295,0.00047735195,0.00043296092,0.0004798387,0.0007484108,0.00087449147,0.00051517726,0.0006101851,0.0016544107],"category_scores_gemma":[0.0010469167,0.00035544133,0.00069689384,0.0005165337,0.00038498617,0.0005493556,0.0004667486,0.00065623305,0.00016351366],"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":[0.0006426637,0.0004668839,0.049999714,0.00012033953,0.000117750686,0.0003988693,0.00011032576,0.9211526,0.019796627,0.0013945586,0.0006354033,0.005164229],"study_design_scores_gemma":[0.00005662139,0.000047007394,0.011416247,0.0000054611214,0.000020601035,0.000017442037,0.0000296334,0.9849882,0.003189005,0.00010507816,0.00010841236,0.000016220938],"about_ca_topic_score_codex":0.043873753,"about_ca_topic_score_gemma":0.013932207,"teacher_disagreement_score":0.043873753,"about_ca_system_score_codex":0.00096055237,"about_ca_system_score_gemma":0.00083010795,"threshold_uncertainty_score":0.08723676},"labels":[],"label_agreement":null},{"id":"W2799471213","doi":"","title":"Properties and concentrations of ice nucleating particles in the sea-surface microlayer and bulk seawater in the Canadian Arctic during summer 2016 and comparison with summer 2014","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seawater; Sea ice; Oceanography; Arctic; Environmental science; Arctic ice pack; Climatology; Geology","score_opus":0.03518435333652596,"score_gpt":0.23062799158764952,"score_spread":0.19544363825112354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799471213","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":[0.99606127,0.00021975112,0.00006030415,0.000037890386,0.000012430671,0.000005136001,0.0019708192,0.000007790898,0.0016245124],"genre_scores_gemma":[0.9960841,0.00017777362,0.00012980422,0.000027281587,0.00000712762,0.000006852624,0.002122006,0.0000046434434,0.0014403312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998679,0.0000028597187,0.000006774078,0.000032625907,0.000035562887,0.000054294767],"domain_scores_gemma":[0.99975055,0.00001085829,0.000025746525,0.00000458709,0.00013316631,0.000075151984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016021107,0.00042520912,0.00027059807,0.0009072562,0.0018602152,0.000776009,0.0004242158,0.00033532106,0.0009975258],"category_scores_gemma":[0.00025516158,0.0001986515,0.00037890204,0.0010924377,0.00034232967,0.0002932428,0.00038226985,0.00028033124,0.00019764036],"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":[0.0007565217,0.00005624354,0.97229093,0.00005367851,0.00010411449,0.0001457862,0.00087229337,0.00057020306,0.016182708,0.00013392032,0.001157012,0.007676687],"study_design_scores_gemma":[0.0000021334004,0.000011394157,0.99793196,0.000004906229,0.00001372992,0.000021167809,0.00057824113,0.00019971991,0.00063192367,0.000008596866,0.0005907452,0.000005501359],"about_ca_topic_score_codex":0.9186572,"about_ca_topic_score_gemma":0.9466993,"teacher_disagreement_score":0.08134282,"about_ca_system_score_codex":0.0042866464,"about_ca_system_score_gemma":0.0029776206,"threshold_uncertainty_score":0.16364366},"labels":[],"label_agreement":null},{"id":"W2800103948","doi":"","title":"Cloud Physics Modifies Precipitation Isotopes in Wintertime Storms Crossing Western Canadian Mountain Ranges: Case Studies from 2016-18 compared to CNIP/GNIP and High Mountain Data Sets","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Storm; Environmental science; Meteorology; Climatology; Atmospheric sciences; Stable isotope ratio; Geology; Geography; Physics; Nuclear physics","score_opus":0.0970542997563526,"score_gpt":0.32696119513263605,"score_spread":0.22990689537628345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800103948","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":[0.9959169,0.000121454774,0.00009655149,0.00018263566,0.000010099214,0.00000819262,0.0023964357,0.000022556142,0.0012452896],"genre_scores_gemma":[0.9966869,0.0000956145,0.00015438176,0.000035279056,0.0000045092725,0.0000038037267,0.0025500644,0.000013726724,0.00045579014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999742,0.00001866662,0.000012089431,0.000058817765,0.00006160682,0.00010693848],"domain_scores_gemma":[0.9991744,0.00011029852,0.00010585658,0.00006002113,0.00040484426,0.00014449752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005390738,0.00026814363,0.0002957825,0.0006753915,0.0013456078,0.0013177006,0.0007829809,0.0005128361,0.0012477718],"category_scores_gemma":[0.0017910618,0.0002590441,0.0005431312,0.0019049131,0.00049424317,0.00059261307,0.00049402553,0.00045226282,0.00017008197],"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":[0.00030509266,0.000056352197,0.9751276,0.000045533237,0.00020364959,0.000339211,0.0006623471,0.008952207,0.0033074147,0.00040353625,0.002911759,0.007685197],"study_design_scores_gemma":[0.000010686103,0.0000075699404,0.9932549,0.000011417392,0.00003802365,0.000026291886,0.00056122796,0.0043281983,0.00043481108,0.00004682916,0.001268212,0.000011760455],"about_ca_topic_score_codex":0.9738602,"about_ca_topic_score_gemma":0.9849716,"teacher_disagreement_score":0.026139796,"about_ca_system_score_codex":0.0064175343,"about_ca_system_score_gemma":0.0057567055,"threshold_uncertainty_score":0.05258745},"labels":[],"label_agreement":null},{"id":"W2800180839","doi":"","title":"Ice-Nucleating Efficiency of Aerosol Particles and Possible Sources at Two Coastal Marine Sites","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aerosol; Environmental science; Oceanography; Atmospheric sciences; Ice nucleus; Climatology; Meteorology; Geology; Geography; Chemistry; Nucleation","score_opus":0.02392054715454205,"score_gpt":0.2422847997817233,"score_spread":0.21836425262718123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800180839","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":[0.9993018,0.000024288933,0.000055669654,0.0000046511186,0.0000012504762,0.0000023426717,0.00017676248,0.0000039596557,0.00042937885],"genre_scores_gemma":[0.9993525,0.000023332796,0.00010856902,0.0000021467267,0.0000019322686,0.0000028438421,0.00021539495,0.0000031942297,0.0002900975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999207,0.000006656877,0.0000060819425,0.000028298622,0.000015108871,0.000023072927],"domain_scores_gemma":[0.9997662,0.00006822944,0.000027406993,0.00001909328,0.00007168976,0.000047304213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002586485,0.00033514656,0.00028961638,0.00083106005,0.00075769285,0.00062286004,0.0005761533,0.00039776138,0.001225728],"category_scores_gemma":[0.00026575173,0.0002676591,0.00045391635,0.00045351955,0.0002481092,0.00036037437,0.00045029237,0.0002185169,0.00022333414],"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":[0.0012031804,0.0001538636,0.9129908,0.000055682245,0.00012793689,0.0009454451,0.00065435347,0.005051464,0.073195346,0.0002406922,0.00017454976,0.0052066376],"study_design_scores_gemma":[0.000028990562,0.0000630877,0.98389536,0.000004127546,0.000052278003,0.00008681213,0.0004118832,0.00451342,0.010669692,0.000038006114,0.00022496254,0.000011319645],"about_ca_topic_score_codex":0.03237807,"about_ca_topic_score_gemma":0.042330727,"teacher_disagreement_score":0.03237807,"about_ca_system_score_codex":0.0006142609,"about_ca_system_score_gemma":0.00028438913,"threshold_uncertainty_score":0.064379215},"labels":[],"label_agreement":null},{"id":"W2800481782","doi":"","title":"A New Look at the Environmental Conditions Favorable to Secondary Ice Production: The Melting Layer As a Potential Source","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Layer (electronics); Production (economics); Environmental science; Geology; Earth science; Meteorology; Chemistry; Geography","score_opus":0.020575590883034792,"score_gpt":0.24979804567317232,"score_spread":0.22922245479013753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800481782","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":[0.5749045,0.13243969,0.0667301,0.062064193,0.0062488155,0.00007983942,0.0013233443,0.00073133985,0.1554782],"genre_scores_gemma":[0.94099444,0.032766573,0.009488843,0.0028263382,0.0017986496,0.00002317366,0.0002418671,0.00020897268,0.011651126],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.0000056492445,0.000002071912,0.00001554226,0.000018024919,0.000020310716],"domain_scores_gemma":[0.99986386,0.000035748235,0.000023998993,0.000010740211,0.000028149085,0.000037593207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022336759,0.00045204494,0.0007982966,0.00042233936,0.0007896782,0.0025699355,0.00075324875,0.0013892804,0.0078931],"category_scores_gemma":[0.00032816164,0.00026213584,0.00043714978,0.00035743564,0.0009647543,0.0043223933,0.0011869288,0.0017375479,0.0005129143],"study_design_candidate":"observational","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":[0.0007260943,0.00029399322,0.04463408,0.001901398,0.00032894636,0.005779389,0.0010011172,0.018219206,0.64125574,0.12325641,0.018511835,0.14409189],"study_design_scores_gemma":[0.00013203686,0.0009697207,0.084155485,0.0008383778,0.00047014112,0.0036485193,0.009308673,0.056227677,0.13831244,0.38473916,0.32069498,0.0005027895],"about_ca_topic_score_codex":0.0014824831,"about_ca_topic_score_gemma":0.002967632,"teacher_disagreement_score":0.0078931,"about_ca_system_score_codex":0.0004500161,"about_ca_system_score_gemma":0.0004632147,"threshold_uncertainty_score":0.026405096},"labels":[],"label_agreement":null},{"id":"W2800505464","doi":"","title":"The Role of Moist Shells in Determining the Dilution of Cumulus Clouds due to Turbulent Mixing","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dilution; Mixing (physics); Turbulence; Environmental science; Mechanics; Meteorology; Atmospheric sciences; Physics; Thermodynamics","score_opus":0.01574087229630344,"score_gpt":0.24078552750310028,"score_spread":0.22504465520679684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800505464","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":[0.9824859,0.00043017472,0.011935364,0.000092811555,0.000048735463,0.000050484974,0.00015221185,0.00013319019,0.0046711178],"genre_scores_gemma":[0.9987947,0.00006510365,0.00070329814,0.000013744096,0.0000064973615,0.0000048667766,0.000036138837,0.00003159742,0.00034408018],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997789,0.0000477337,0.00001784818,0.000047275094,0.00005892729,0.000049299353],"domain_scores_gemma":[0.99815375,0.0013164888,0.00013606565,0.00009541485,0.00014144446,0.00015675748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512745,0.0005618489,0.00024156307,0.00051632867,0.00050188514,0.0011273936,0.00049394293,0.00039241178,0.0012829547],"category_scores_gemma":[0.0049319956,0.0005446863,0.00029568523,0.00021441169,0.00046457292,0.0012763743,0.0008130035,0.00043583018,0.00022589031],"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":[0.0017151763,0.0002006765,0.24125582,0.00019986954,0.00019651974,0.0006998436,0.00052589807,0.042115666,0.6793473,0.0060289023,0.00028840647,0.027425881],"study_design_scores_gemma":[0.00012067058,0.00021218817,0.27237308,0.000026898244,0.00011670901,0.00023946028,0.00013462802,0.4169139,0.3080597,0.0009607398,0.0007502363,0.00009175617],"about_ca_topic_score_codex":0.004180324,"about_ca_topic_score_gemma":0.0025975124,"teacher_disagreement_score":0.004180324,"about_ca_system_score_codex":0.000449583,"about_ca_system_score_gemma":0.00026896424,"threshold_uncertainty_score":0.008311987},"labels":[],"label_agreement":null},{"id":"W2800587015","doi":"","title":"Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Processes","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cloud computing; Boundary layer; Statistical physics; Layer (electronics); Boundary (topology); Computer science; Geology; Mathematics; Physics; Mathematical analysis; Materials science; Mechanics","score_opus":0.05011014669452199,"score_gpt":0.29115899701836107,"score_spread":0.24104885032383908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800587015","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":[0.99069196,0.00003489968,0.008496693,0.000067962486,0.000012330481,0.000009686163,0.000105352934,0.0001296344,0.00045151977],"genre_scores_gemma":[0.9985971,0.000010094237,0.001221716,0.000008048848,0.0000022660595,0.000003073675,0.00009195094,0.000011955441,0.000053774893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998325,0.00004086425,0.000010713707,0.000041578965,0.000031968084,0.00004235798],"domain_scores_gemma":[0.9987306,0.0008415015,0.0001109209,0.00008711663,0.00013679436,0.00009296886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077783613,0.0004321198,0.00028215078,0.00043040278,0.0003909218,0.0007219734,0.0005592446,0.0008764739,0.00047177298],"category_scores_gemma":[0.0040998473,0.00028304177,0.00041346037,0.00047067276,0.0005289745,0.00076390314,0.00044084157,0.0006509809,0.000047512345],"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":[0.0002466355,0.00017529083,0.024156943,0.000029808607,0.000056685003,0.0000956372,0.000082256876,0.95893127,0.009176593,0.0016819465,0.00024548513,0.0051214886],"study_design_scores_gemma":[0.000010565147,0.00001042932,0.0027781962,0.0000015288052,0.0000039466195,0.000003138757,0.00000665765,0.99630535,0.0007049476,0.00015437197,0.00001720646,0.0000037540576],"about_ca_topic_score_codex":0.028058654,"about_ca_topic_score_gemma":0.0135251805,"teacher_disagreement_score":0.028058654,"about_ca_system_score_codex":0.0008254723,"about_ca_system_score_gemma":0.00066478807,"threshold_uncertainty_score":0.055790663},"labels":[],"label_agreement":null},{"id":"W2800665670","doi":"","title":"Examining Differences between Observed and Large-Eddy Simulations of Shallow Cumulus Cloud-Base Vertical Velocity","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Cloud computing; Large eddy simulation; Vertical velocity; Base (topology); Geodesy; Meteorology; Environmental science; Atmospheric sciences; Turbulence; Mechanics; Physics; Mathematics; Computer science","score_opus":0.05853543057388356,"score_gpt":0.25716309403867504,"score_spread":0.1986276634647915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800665670","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":[0.9988288,0.000018366916,0.00037702607,0.000030698546,0.000011703884,0.0000045097026,0.00024716955,0.00006313324,0.00041862248],"genre_scores_gemma":[0.9993926,0.0000070642727,0.00025095604,0.000009801908,0.000002738655,0.0000024302506,0.00024681876,0.000010631129,0.00007694623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998884,0.000013737289,0.000010990952,0.000044377346,0.000014246741,0.000028224398],"domain_scores_gemma":[0.9994659,0.00027401597,0.000048784867,0.0000616371,0.00008428015,0.00006545585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028180372,0.00035885943,0.00023901048,0.00021138755,0.00034381915,0.0005410629,0.0005240331,0.00060961745,0.0008557951],"category_scores_gemma":[0.0015811704,0.00025197788,0.00043357158,0.0002793494,0.00024680494,0.0005748147,0.00024691958,0.0004834445,0.00009616677],"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":[0.001685801,0.0012531357,0.25015962,0.00020016372,0.00046463983,0.0003496245,0.0003950627,0.6475489,0.0785226,0.0016153551,0.0019711736,0.015833816],"study_design_scores_gemma":[0.00017037414,0.00021116591,0.16596743,0.000016276024,0.000058756825,0.00004432665,0.00013521514,0.82032645,0.012328299,0.00019077996,0.00051444804,0.000036414604],"about_ca_topic_score_codex":0.026233135,"about_ca_topic_score_gemma":0.02320952,"teacher_disagreement_score":0.026233135,"about_ca_system_score_codex":0.0005700521,"about_ca_system_score_gemma":0.0005277472,"threshold_uncertainty_score":0.05216086},"labels":[],"label_agreement":null},{"id":"W2801150685","doi":"","title":"Analyzing the Radiative Feedbacks Using Kernel and Neural Network Methods","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial neural network; Radiative transfer; Computer science; Artificial intelligence; Environmental science; Physics","score_opus":0.04810546804564914,"score_gpt":0.31525753191823785,"score_spread":0.2671520638725887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801150685","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":[0.41651863,0.00031080566,0.5809529,0.00017242422,0.00005005414,0.000029734936,0.00009043266,0.0006815862,0.00119334],"genre_scores_gemma":[0.9783982,0.00008955836,0.020411346,0.000013390106,0.000016280497,0.000014785215,0.000069810216,0.00006919207,0.00091735227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978584,0.000053556843,0.000009518968,0.000050534545,0.000065340326,0.000035227356],"domain_scores_gemma":[0.99865973,0.00084199925,0.0001315079,0.00011260336,0.00021587325,0.000038285216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171927,0.000542777,0.00040803416,0.0006209769,0.0002785858,0.00072625396,0.0007446628,0.0006053584,0.0008521415],"category_scores_gemma":[0.0036607226,0.0003399142,0.0005259582,0.0004447688,0.00041564053,0.0016972723,0.0005463788,0.00079782505,0.00014611914],"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":[0.00017405869,0.00014946755,0.00574294,0.00006436064,0.000074513046,0.000065958644,0.000057226836,0.92313266,0.018657003,0.006637037,0.0003913177,0.04485346],"study_design_scores_gemma":[0.0000012031346,0.0000026415184,0.0002874164,3.9412956e-7,0.0000017485866,0.0000016248988,0.0000017638376,0.99880457,0.00045422933,0.00041792964,0.000024689438,0.0000018035112],"about_ca_topic_score_codex":0.008657996,"about_ca_topic_score_gemma":0.0052606203,"teacher_disagreement_score":0.008657996,"about_ca_system_score_codex":0.00055842166,"about_ca_system_score_gemma":0.00057024474,"threshold_uncertainty_score":0.017215192},"labels":[],"label_agreement":null},{"id":"W2801186573","doi":"","title":"The Interaction between Cumulus and Microphysics Parameterization Schemes in WRF across Convective Grey Zone Resolutions: A Case Study.","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weather Research and Forecasting Model; Meteorology; Environmental science; Mesocyclone; Convection; Climatology; Atmospheric sciences; Geography; Geology; Computer science; Radar","score_opus":0.06161075153439897,"score_gpt":0.3133321406800412,"score_spread":0.25172138914564224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801186573","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":[0.9866325,0.00036469643,0.005238071,0.00047558083,0.000057453566,0.00006603701,0.00082773704,0.0006758754,0.005662169],"genre_scores_gemma":[0.99198794,0.00005460818,0.0066756196,0.00006706322,0.0000131819625,0.000017600296,0.00043970227,0.00012114592,0.0006232053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941957,0.00024156041,0.000027836422,0.000077237986,0.00012156595,0.000112201975],"domain_scores_gemma":[0.9968837,0.0018658786,0.00018597931,0.00044687316,0.00040128207,0.00021623001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021990917,0.00037210167,0.00034727412,0.00031517175,0.000668538,0.0011829749,0.0008939089,0.0007610259,0.0013448892],"category_scores_gemma":[0.00838584,0.0001915962,0.00029731344,0.000711106,0.00029620042,0.0013832492,0.00057605887,0.0008113802,0.00023488485],"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":[0.0013221941,0.0009615447,0.13018444,0.00024661564,0.000363468,0.0005741788,0.0008908836,0.71368676,0.025841264,0.007220935,0.0104442015,0.10826355],"study_design_scores_gemma":[0.00022299489,0.0002631366,0.06947657,0.00004498321,0.00009427918,0.000071490475,0.00044679912,0.90873104,0.012645353,0.0013949209,0.0065614018,0.00004700902],"about_ca_topic_score_codex":0.04805478,"about_ca_topic_score_gemma":0.039117634,"teacher_disagreement_score":0.04805478,"about_ca_system_score_codex":0.00084695785,"about_ca_system_score_gemma":0.00063222455,"threshold_uncertainty_score":0.09555012},"labels":[],"label_agreement":null},{"id":"W2801949168","doi":"","title":"Cloud-assisted Retrieval of Upper Tropospheric and Lower Stratospheric (UTLS) Water Vapor From Nadir View Satellite Measurements","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Nadir; Environmental science; Troposphere; Water vapor; Satellite; Atmospheric sciences; Remote sensing; Climatology; Meteorology; Geology; Geography; Physics","score_opus":0.05554336197177503,"score_gpt":0.2737617331895277,"score_spread":0.21821837121775264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801949168","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":[0.9730145,0.0005467345,0.016238905,0.00010230844,0.00018432703,0.00004584899,0.004771851,0.0016521984,0.0034433934],"genre_scores_gemma":[0.9785645,0.00017310391,0.015157545,0.00004933358,0.000039397477,0.000021199136,0.0048038154,0.00009319075,0.0010979731],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998584,0.0000101422675,0.0000064171168,0.000034319488,0.000048729384,0.000041911953],"domain_scores_gemma":[0.99988604,0.000011784854,0.000012939822,0.000019741847,0.000057137135,0.000012337342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016003853,0.00036017486,0.00030070692,0.00066769496,0.00034828985,0.00049031235,0.0005453047,0.00040297455,0.0010151487],"category_scores_gemma":[0.0003626065,0.00022750776,0.0003939767,0.0009350886,0.000109893226,0.00055160915,0.0003383063,0.00030564194,0.000407356],"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":[0.0013081301,0.00037006114,0.087755844,0.00038750388,0.0004777939,0.0004396123,0.00028916693,0.11976816,0.55698144,0.0011222549,0.010782294,0.22031772],"study_design_scores_gemma":[0.0002819047,0.0000875762,0.1506731,0.000021912223,0.00015030717,0.00008408052,0.00011187598,0.73335236,0.1094361,0.00023848513,0.0054993997,0.00006286785],"about_ca_topic_score_codex":0.056453608,"about_ca_topic_score_gemma":0.10868788,"teacher_disagreement_score":0.056453608,"about_ca_system_score_codex":0.0005032706,"about_ca_system_score_gemma":0.0011612352,"threshold_uncertainty_score":0.11225003},"labels":[],"label_agreement":null},{"id":"W2802563189","doi":"","title":"Observation of Phase Composition and Humidity in Oceanic Mesoscale Convective Systems","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Mesoscale meteorology; Phase (matter); Convection; Meteorology; Environmental science; Atmospheric sciences; Climatology; Geology; Geography; Physics","score_opus":0.031849015538767025,"score_gpt":0.2688908732860813,"score_spread":0.2370418577473143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802563189","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":[0.9985777,0.000063038024,0.00032176857,0.000018823866,0.0000059361364,0.0000056726262,0.00021563453,0.000021481606,0.00076998066],"genre_scores_gemma":[0.9994438,0.000023896435,0.00019556252,0.000007391109,0.000005039578,0.000002367424,0.00016724909,0.0000045655142,0.00015012271],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999621,0.000002507819,0.0000015564395,0.000012184294,0.000009245944,0.000012340176],"domain_scores_gemma":[0.99994004,0.000011378508,0.000009365955,0.0000063845055,0.000014075903,0.000018733348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081433005,0.00016698123,0.00014655532,0.0004466365,0.0003078719,0.0002814077,0.00021849401,0.00021941945,0.00071135914],"category_scores_gemma":[0.00016340688,0.00017924403,0.00013604049,0.0003453133,0.00022695852,0.00028911539,0.00027969506,0.00023922797,0.00012190647],"study_design_candidate":"observational","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":[0.0009844862,0.00011744337,0.24616444,0.00004914597,0.0000820515,0.00019986005,0.0003036964,0.0013872561,0.7393124,0.00026068502,0.00027238647,0.010866275],"study_design_scores_gemma":[0.00007372552,0.00008828469,0.931015,0.0000069887665,0.000051520165,0.00009822135,0.00017069672,0.011590215,0.055957057,0.000104108345,0.00082843495,0.000015788588],"about_ca_topic_score_codex":0.0064869877,"about_ca_topic_score_gemma":0.006000628,"teacher_disagreement_score":0.0064869877,"about_ca_system_score_codex":0.00021607011,"about_ca_system_score_gemma":0.00014505823,"threshold_uncertainty_score":0.012898445},"labels":[],"label_agreement":null},{"id":"W2802874791","doi":"","title":"Results from the 2018 University of British Columbia Workshop on Evaluation of Cloud Probe Processing Software","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Software; Computer science; Library science; Operating system","score_opus":0.0402385686042768,"score_gpt":0.2515378781220874,"score_spread":0.2112993095178106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802874791","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":[0.7090119,0.011562335,0.03918146,0.028052554,0.0027950793,0.002778771,0.031855114,0.011103335,0.16365932],"genre_scores_gemma":[0.80944467,0.0039016288,0.051058024,0.003525739,0.00038228178,0.0010227659,0.0537923,0.0031274974,0.073745064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9787225,0.0040328354,0.00073016266,0.0013903996,0.013302191,0.0018219118],"domain_scores_gemma":[0.9315495,0.017303135,0.0011249797,0.0054781297,0.039992,0.0045523006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013301603,0.0018240606,0.00091192964,0.0031053247,0.0021896712,0.0035660707,0.0016963362,0.0016205651,0.006013307],"category_scores_gemma":[0.03432873,0.00061712274,0.0007250009,0.0032911147,0.0013108904,0.0022937418,0.003093466,0.0024983839,0.0026073323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048820847,0.0066160457,0.03314066,0.0018669263,0.00034907475,0.0006314026,0.0036009017,0.021909699,0.050673675,0.007060182,0.48911357,0.38015574],"study_design_scores_gemma":[0.0015111617,0.0033820972,0.21897759,0.0015296433,0.00051912403,0.00045410142,0.006142878,0.0924024,0.13553827,0.010414359,0.5286882,0.0004402901],"about_ca_topic_score_codex":0.15145342,"about_ca_topic_score_gemma":0.21602285,"teacher_disagreement_score":0.15145342,"about_ca_system_score_codex":0.007670762,"about_ca_system_score_gemma":0.00795321,"threshold_uncertainty_score":0.30114377},"labels":[],"label_agreement":null},{"id":"W2802905553","doi":"","title":"Effects of Explicitly Coupling Microphysics Effective Radii to Radiative Transfer Calculations in the Canadian HRDPS Forecast Model","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiative transfer; Coupling (piping); Meteorology; Environmental science; Physics; Atmospheric sciences; Materials science; Optics","score_opus":0.01529881093392897,"score_gpt":0.23858828508795876,"score_spread":0.2232894741540298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802905553","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":[0.921037,0.0009104657,0.02538342,0.0026430688,0.0006099924,0.00016180493,0.0036274346,0.0044489843,0.04117777],"genre_scores_gemma":[0.989451,0.00018810334,0.0059925495,0.00027056516,0.000052438947,0.00003657733,0.0006928417,0.00045566855,0.0028601862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912447,0.00021951208,0.00006180791,0.0001681936,0.00021196755,0.00021403932],"domain_scores_gemma":[0.9963193,0.0013879404,0.00021728927,0.00038550684,0.0012367109,0.00045323782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013358752,0.001503721,0.0010579227,0.0005109388,0.0019538528,0.00214123,0.004678186,0.0019288256,0.0047688587],"category_scores_gemma":[0.0075891623,0.0010862987,0.0008894751,0.0009259678,0.0011649538,0.0028031257,0.0015665032,0.0028883421,0.00060309574],"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":[0.0001609824,0.000097488904,0.004509013,0.000048426944,0.000059850245,0.000048858594,0.00007166915,0.9855686,0.0020468186,0.0018449412,0.0012740191,0.0042692437],"study_design_scores_gemma":[0.00010189345,0.000029091463,0.0020447895,0.000019779656,0.000048843056,0.0000051941893,0.0000319935,0.99455774,0.0019391387,0.00031910514,0.0008633168,0.00003913359],"about_ca_topic_score_codex":0.7847318,"about_ca_topic_score_gemma":0.6108607,"teacher_disagreement_score":0.7847318,"about_ca_system_score_codex":0.0062150043,"about_ca_system_score_gemma":0.010242325,"threshold_uncertainty_score":0.43307185},"labels":[],"label_agreement":null},{"id":"W2802935963","doi":"","title":"Effect of Linewidth Narrowing on Radiative Forcing","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Electromagnetic Launch and Propulsion Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Forcing (mathematics); Laser linewidth; Radiative forcing; Radiative transfer; Environmental science; Climatology; Atmospheric sciences; Remote sensing; Meteorology; Physics; Optics; Geology; Laser; Aerosol","score_opus":0.010285216188016451,"score_gpt":0.2457874016420442,"score_spread":0.23550218545402776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802935963","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":[0.9913975,0.0002814731,0.0032619922,0.00018335483,0.000044539844,0.000008773694,0.00023590447,0.0003883351,0.0041981386],"genre_scores_gemma":[0.99880517,0.00004822895,0.0004657836,0.000038245973,0.0000055811333,0.000004277971,0.00006943505,0.00005632758,0.0005069719],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983835,0.000021073749,0.000005918342,0.000043059914,0.000020148907,0.000071364426],"domain_scores_gemma":[0.99819237,0.0011244393,0.00012777938,0.00019541604,0.00015582303,0.00020407017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037356248,0.00022390088,0.00025956478,0.00023252204,0.00045376303,0.0004233271,0.0004727519,0.00063459494,0.008308452],"category_scores_gemma":[0.0026098124,0.00023914402,0.00024038879,0.00021249393,0.00035638324,0.00046658734,0.0005335888,0.00073095737,0.0007345515],"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":[0.0034620804,0.0004856677,0.012969314,0.00018482759,0.00011132714,0.0005707015,0.0002606405,0.08707545,0.8735853,0.0018291738,0.0012192981,0.018246163],"study_design_scores_gemma":[0.0004067372,0.0014701361,0.08632502,0.0000907231,0.00030772237,0.00042776996,0.0004613952,0.2461725,0.65691817,0.0014657943,0.0058189277,0.00013503477],"about_ca_topic_score_codex":0.002034604,"about_ca_topic_score_gemma":0.001321398,"teacher_disagreement_score":0.008308452,"about_ca_system_score_codex":0.0002461744,"about_ca_system_score_gemma":0.00031181335,"threshold_uncertainty_score":0.02779448},"labels":[],"label_agreement":null},{"id":"W2802950542","doi":"","title":"The Characteristics of Marine Fog Offshore Newfoundland and Labrador","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact","funders":"","keywords":"Submarine pipeline; Geology; Oceanography; Geography","score_opus":0.019724956291472938,"score_gpt":0.25468212924502476,"score_spread":0.2349571729535518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802950542","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":[0.9931677,0.0001001063,0.00015041242,0.000053117907,0.000015281348,0.0000096155345,0.00085015077,0.000014601966,0.0056390003],"genre_scores_gemma":[0.99825674,0.000055092798,0.0001715783,0.000024849563,0.0000076292185,0.000006234119,0.0006262606,0.0000054992825,0.0008462787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998658,0.00000648905,0.00000943218,0.000026852515,0.000030242936,0.000061153965],"domain_scores_gemma":[0.9994418,0.00006690285,0.000091501795,0.000022366625,0.00027684454,0.000100501966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014933675,0.00017065216,0.00017882374,0.00088314473,0.0009773406,0.0009426653,0.0002622156,0.00025495974,0.0011023743],"category_scores_gemma":[0.00056570524,0.00014646689,0.00019377864,0.00085270236,0.00035888748,0.00034673983,0.00046466212,0.00022699963,0.00016118544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020159541,0.000029787378,0.98026466,0.000030687475,0.00005324972,0.00026861843,0.00065210264,0.00080636085,0.008916486,0.00012851511,0.001033238,0.007614636],"study_design_scores_gemma":[0.0000015860693,0.00000702819,0.99861073,0.0000042044876,0.0000066688185,0.000031543852,0.00034571718,0.00022100803,0.00023361406,0.000004877621,0.00053022476,0.0000027999458],"about_ca_topic_score_codex":0.47338715,"about_ca_topic_score_gemma":0.6485794,"teacher_disagreement_score":0.5266129,"about_ca_system_score_codex":0.0017622429,"about_ca_system_score_gemma":0.0011535638,"threshold_uncertainty_score":0.94126344},"labels":[],"label_agreement":null},{"id":"W2802968498","doi":"","title":"Cumulus Entrainment: Verifying Retrieval Methods and Interpreting Environmental Sensitivities Using Large-Eddy Simulation","year":2018,"lang":"en","type":"article","venue":"15th Conference on Cloud Physics/15th Conference on Atmospheric Radiation","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Entrainment (biomusicology); Meteorology; Large eddy simulation; Computer science; Climatology; Atmospheric sciences; Geography; Geology; Turbulence; Physics","score_opus":0.036974140574655714,"score_gpt":0.330356872051275,"score_spread":0.2933827314766193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802968498","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":[0.83235925,0.00018451519,0.15822649,0.00038270283,0.00018181435,0.00013087405,0.0006524175,0.004305175,0.0035769015],"genre_scores_gemma":[0.9557853,0.000036202444,0.043090146,0.0000433738,0.000025254609,0.000026399925,0.00023249169,0.00045921677,0.00030157843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993925,0.0002052085,0.000060185226,0.00009800184,0.00017345672,0.00007067167],"domain_scores_gemma":[0.99564195,0.0023179885,0.0002660281,0.0009062409,0.0007131192,0.00015469144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023495983,0.0008365099,0.00043474426,0.0006171665,0.0008751712,0.0012601616,0.0010142279,0.00082478975,0.00096698315],"category_scores_gemma":[0.012405907,0.00036053022,0.00041375763,0.0005015516,0.00061948283,0.0020927964,0.00096275087,0.0007560516,0.00018533209],"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":[0.0008863198,0.00047502716,0.026835518,0.00024356761,0.00020511937,0.00035964863,0.00035413072,0.82250243,0.07521442,0.008075404,0.00198878,0.06285965],"study_design_scores_gemma":[0.00003601282,0.000016995426,0.0016640405,0.0000043069876,0.000010344023,0.000010201268,0.000013864292,0.9833325,0.014302708,0.00038065098,0.00021720208,0.0000111544105],"about_ca_topic_score_codex":0.02336422,"about_ca_topic_score_gemma":0.015285712,"teacher_disagreement_score":0.02336422,"about_ca_system_score_codex":0.00085205905,"about_ca_system_score_gemma":0.0014238612,"threshold_uncertainty_score":0.046456456},"labels":[],"label_agreement":null}]}