{"id":"W4244141160","doi":"10.1515/iupac.88.1408","title":"Testicular Feminization","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0009782047,0.001117364,0.001121793,0.003836695,0.0005855837,0.001938735,0.0013928,0.0009620453,0.09605401],"category_scores_gemma":[0.006893776,0.0004717078,0.00179547,0.005090336,0.0003912247,0.001298735,0.001506834,0.00132915,0.04291507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009355538,"about_ca_system_score_gemma":0.001759156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441713,"about_ca_topic_score_gemma":0.02917786,"domain_scores_codex":[0.9989048,0.0001750119,0.0002447806,0.0003436643,0.000208088,0.0001236851],"domain_scores_gemma":[0.9967195,0.001065673,0.0006695082,0.0007029452,0.00069411,0.0001481303],"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":[0.0002969935,0.00002502679,0.009922018,0.004905118,0.0001556736,0.00009950606,0.0000769817,0.0003490016,0.0002837731,0.001378503,0.9538119,0.02869546],"study_design_scores_gemma":[0.0001611495,0.00002885229,0.02711348,0.001766449,0.0001062722,0.0003721966,0.0001243157,0.0001526369,0.0003644293,0.001625341,0.9681463,0.00003860638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003920603,0.0007903794,0.0001552645,0.0001113666,0.00007249153,0.00003530207,0.9957697,0.0001433111,0.002530134],"genre_scores_gemma":[0.002385263,0.001107042,0.0007234745,0.0002530419,0.00004542306,0.0002214198,0.9925058,0.00008064982,0.002677825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09605401,"threshold_uncertainty_score":0.3213327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106777798512432,"score_gpt":0.449153007977344,"score_spread":0.4380852299922197,"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."}}