{"id":"W6888706440","doi":"10.22008/fk2/cs5lka/uzjahv","title":"w50acbw8.rtl","year":2021,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.007739013,0.001788907,0.003883411,0.0003990913,0.0005181432,0.0002155661,0.001515261,0.002980888,0.01798721],"category_scores_gemma":[0.007416188,0.001471688,0.0006043665,0.001719932,0.002898832,0.0002381266,0.002316811,0.002237279,0.009262532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201003,"about_ca_system_score_gemma":0.000421033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01942327,"about_ca_topic_score_gemma":0.03297075,"domain_scores_codex":[0.9838606,0.007808514,0.002229421,0.002547276,0.001480746,0.002073448],"domain_scores_gemma":[0.9882472,0.006009093,0.001370725,0.002002537,0.001171494,0.001198987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009815561,0.0009153949,0.4314601,0.0005806217,0.0006463471,0.0008835015,0.00002032503,0.0000193308,0.00003081642,0.00003786494,0.5590057,0.005418333],"study_design_scores_gemma":[0.001584699,0.0006911085,0.597729,0.0003372013,0.0004309014,0.0002859207,0.00002302887,0.00007728925,0.00001702397,0.0002700268,0.3974256,0.001128228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1619871,0.02849105,0.00005509612,0.000292594,0.001102213,0.0006349175,0.8067263,0.00004513096,0.0006656366],"genre_scores_gemma":[0.03901735,0.01114577,0.0005734664,0.0003945917,0.000588632,0.0000491293,0.9442469,0.0001282106,0.003855914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1662689,"threshold_uncertainty_score":0.9998147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658591924462772,"score_gpt":0.2760015378771337,"score_spread":0.229415618632506,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}