{"id":"W4254047880","doi":"10.1515/iupac.88.1328","title":"Sexual Maturity","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; Computer science; 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":[0.0009022772,0.0009312273,0.000922821,0.002990678,0.0005465489,0.001640055,0.001251825,0.0008083316,0.09620711],"category_scores_gemma":[0.007632803,0.0003717306,0.001317278,0.00415474,0.0002482299,0.001541402,0.001263382,0.00132807,0.05385234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008648525,"about_ca_system_score_gemma":0.001310162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564943,"about_ca_topic_score_gemma":0.02778317,"domain_scores_codex":[0.9991478,0.0001286938,0.0002524176,0.000222553,0.0001593968,0.00008915574],"domain_scores_gemma":[0.9971949,0.0007623332,0.0005913157,0.0005485989,0.0007714892,0.0001313393],"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":[0.0002867179,0.00003343019,0.0115866,0.003253861,0.0001089599,0.00007538022,0.0001086109,0.0002343198,0.0001829029,0.001646748,0.9527773,0.02970511],"study_design_scores_gemma":[0.0001214327,0.00002734079,0.03061959,0.001741886,0.00005971231,0.0002388228,0.0001858499,0.0001541646,0.00020293,0.001542633,0.965067,0.00003871699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006316471,0.0005515112,0.0001580765,0.0001240588,0.00007477001,0.00005501603,0.9938831,0.0001264357,0.00439544],"genre_scores_gemma":[0.003172488,0.001019544,0.0007947203,0.0002870972,0.00004749234,0.0002814962,0.9891102,0.00007355756,0.005213322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09620711,"threshold_uncertainty_score":0.3218449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302991908417544,"score_gpt":0.4499330214844716,"score_spread":0.4369031024002961,"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."}}