{"id":"W4242685958","doi":"10.1515/iupac.88.0894","title":"Hirsutism","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":[0.0004884895,0.0006146134,0.001016775,0.002236418,0.0006284968,0.001195572,0.0008086494,0.0006611784,0.1165532],"category_scores_gemma":[0.005897318,0.0002568053,0.0009640079,0.005062841,0.0002290734,0.0009607102,0.0008709099,0.00102115,0.04602576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277616,"about_ca_system_score_gemma":0.0009562862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009127483,"about_ca_topic_score_gemma":0.01315739,"domain_scores_codex":[0.9991457,0.0001297026,0.0002599116,0.0002213492,0.0001448503,0.00009840962],"domain_scores_gemma":[0.9985228,0.0004012247,0.0003654569,0.0003157998,0.0003045405,0.00009026838],"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":[0.0004252252,0.00004300729,0.01387637,0.002331414,0.0001332604,0.0004934405,0.0001010748,0.0001326542,0.0001644496,0.001861322,0.9088129,0.07162486],"study_design_scores_gemma":[0.0003180545,0.00004919576,0.04139745,0.002688725,0.0001144017,0.001933622,0.0003100149,0.0001847823,0.0002013653,0.004169459,0.94859,0.00004280798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004655141,0.004665965,0.0006654848,0.0009095786,0.000455866,0.0002723822,0.9507623,0.0003931115,0.03722015],"genre_scores_gemma":[0.02193655,0.007281215,0.001331511,0.001753011,0.0003634774,0.0006519069,0.945551,0.0001951955,0.02093607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1165532,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194799682421636,"score_gpt":0.4594133643209755,"score_spread":0.4474653674967591,"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."}}