{"id":"W4241400629","doi":"10.1515/iupac.88.1327","title":"Sexual Maturation","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); Psychology; Computer science; Linguistics; Data mining; 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":[0.0009208596,0.001097753,0.0009614716,0.002980891,0.0006067193,0.001813067,0.001442761,0.0008930009,0.09959704],"category_scores_gemma":[0.00711318,0.000425669,0.00146027,0.003944708,0.0002761252,0.001488763,0.001393504,0.001330036,0.06282172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009304251,"about_ca_system_score_gemma":0.001589838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707357,"about_ca_topic_score_gemma":0.03302794,"domain_scores_codex":[0.9991369,0.0001350376,0.0002239052,0.0002484382,0.000165796,0.00008994293],"domain_scores_gemma":[0.9974344,0.0007773358,0.000452618,0.0005664495,0.000636808,0.000132267],"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":[0.0002355625,0.00002640398,0.007667548,0.002928849,0.00009596211,0.00006214746,0.00008170649,0.0002579254,0.0001770354,0.001375009,0.9616286,0.0254633],"study_design_scores_gemma":[0.00009257209,0.00002039027,0.01911947,0.001097651,0.00004553884,0.0001710643,0.0001059678,0.0001227816,0.0001862659,0.001173151,0.9778356,0.00002950601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004148194,0.0005076797,0.0001468298,0.0001041294,0.00007133804,0.00003856169,0.9949456,0.000163599,0.00360738],"genre_scores_gemma":[0.00208685,0.0008381821,0.0007369674,0.000223967,0.00003488274,0.0002122901,0.9916514,0.00008307947,0.004132439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09959704,"threshold_uncertainty_score":0.3331853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253134677721021,"score_gpt":0.4518037802299359,"score_spread":0.4392724334527257,"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."}}