{"id":"W4253887138","doi":"10.1515/iupac.81.0820","title":"Sexual Selection","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Ecology; Biology; Risk assessment; Data mining; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327153,0.001279655,0.001323825,0.002688921,0.001057181,0.002754894,0.001906075,0.001425545,0.1245271],"category_scores_gemma":[0.01057874,0.0005026112,0.001442936,0.004851173,0.0003632566,0.001646907,0.001586392,0.001755834,0.0993254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006022,"about_ca_system_score_gemma":0.001782004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423317,"about_ca_topic_score_gemma":0.02794183,"domain_scores_codex":[0.9987109,0.0003232337,0.0001599077,0.0003940939,0.0002197297,0.0001921342],"domain_scores_gemma":[0.9966375,0.001355793,0.0003720464,0.0008680216,0.0005275616,0.0002392273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000108422,0.0000217552,0.007184583,0.0006285955,0.00007353333,0.0000627572,0.00003650942,0.0003346837,0.00008585677,0.001701067,0.9801431,0.009619107],"study_design_scores_gemma":[0.0002244112,0.00002770705,0.01475086,0.0006399612,0.00005787288,0.0004118518,0.000112672,0.000667919,0.0002349442,0.005355583,0.9774786,0.00003758623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006585706,0.0003540686,0.0002517034,0.0001937201,0.00007199379,0.0000211201,0.9954236,0.0002378058,0.002787499],"genre_scores_gemma":[0.002315698,0.0003399066,0.0005897164,0.0002360913,0.00002629337,0.0001090914,0.9936863,0.00008406436,0.002612961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1245271,"threshold_uncertainty_score":0.4165847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101727905232301,"score_gpt":0.3516488479170362,"score_spread":0.341476057393806,"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."}}