{"id":"W4240792541","doi":"10.1515/iupac.88.1022","title":"Megacolon","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":[0.001508459,0.001247774,0.001506754,0.005373493,0.0007918152,0.004151672,0.002283075,0.00145559,0.2565566],"category_scores_gemma":[0.01380274,0.000651073,0.001505891,0.009689745,0.0004446621,0.003000723,0.003310856,0.001752563,0.2544324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234437,"about_ca_system_score_gemma":0.00294878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009922861,"about_ca_topic_score_gemma":0.02191384,"domain_scores_codex":[0.9984934,0.0003554241,0.0002768106,0.0004120386,0.0002920028,0.000170199],"domain_scores_gemma":[0.9952296,0.001727023,0.0005612192,0.0009611829,0.001110204,0.0004108596],"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":[0.00007019969,0.000007930144,0.0005405723,0.001653471,0.00002867569,0.000016331,0.0000347693,0.00008085901,0.00008753181,0.0008296131,0.9898518,0.006798164],"study_design_scores_gemma":[0.00006707212,0.000008497964,0.001170241,0.0006061388,0.00001716163,0.00002397499,0.00004191717,0.0000708081,0.00008322118,0.0009387038,0.9969597,0.00001249484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000765495,0.000195293,0.0001303504,0.0001802529,0.00006770471,0.00003045518,0.9961826,0.0005976165,0.002539139],"genre_scores_gemma":[0.0003345244,0.0003076039,0.0005994401,0.0002783898,0.00002762461,0.0001766299,0.9956349,0.0002894078,0.002351469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2565566,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011790080411672,"score_gpt":0.4629425139112897,"score_spread":0.4511524334996177,"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."}}