{"id":"W4232784479","doi":"10.1515/iupac.88.1352","title":"Spermatocyte","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":[0.0008608839,0.001204708,0.001320317,0.00338063,0.0009195349,0.00245727,0.001520057,0.001163352,0.09819604],"category_scores_gemma":[0.004587458,0.0006268916,0.001346867,0.005040438,0.0003295772,0.001367348,0.001604861,0.001616551,0.0853378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049143,"about_ca_system_score_gemma":0.002167161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208026,"about_ca_topic_score_gemma":0.02145605,"domain_scores_codex":[0.9989898,0.0001131978,0.0002250895,0.0003165504,0.0002448427,0.0001105107],"domain_scores_gemma":[0.9978634,0.00058163,0.0003325928,0.0005138345,0.0005759252,0.0001326184],"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":[0.0003064691,0.00003139085,0.005669433,0.005229817,0.0001063661,0.000082931,0.00007194639,0.0004160005,0.0009773545,0.001180095,0.9635189,0.02240951],"study_design_scores_gemma":[0.0001196505,0.00002714455,0.01013289,0.0007700857,0.00006600043,0.0001542938,0.00006509665,0.0001503426,0.0006462432,0.001303549,0.9865375,0.00002712732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000342784,0.0005796408,0.0001770519,0.00007250842,0.00006385197,0.00003288072,0.9963077,0.0003010603,0.002122447],"genre_scores_gemma":[0.0009672487,0.0005892321,0.0006494379,0.0001461715,0.00001487245,0.0001312256,0.9956578,0.00006727397,0.001776761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09819604,"threshold_uncertainty_score":0.3284984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219166154147164,"score_gpt":0.4578496238125752,"score_spread":0.4456579622711035,"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."}}