{"id":"W4254510645","doi":"10.1515/iupac.88.1052","title":"Metaplasia","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":[0.001403763,0.001475755,0.001317429,0.005317613,0.0009941236,0.003516675,0.002554871,0.001833482,0.1421146],"category_scores_gemma":[0.01054069,0.0006844351,0.002562178,0.005928739,0.0004513731,0.002593776,0.002484272,0.001764878,0.1150475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450716,"about_ca_system_score_gemma":0.003053388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004726,"about_ca_topic_score_gemma":0.0234634,"domain_scores_codex":[0.9980519,0.0002953128,0.0004576184,0.0006027196,0.0003897842,0.0002027823],"domain_scores_gemma":[0.9964098,0.001174827,0.0004967261,0.0009280675,0.0007933762,0.0001972272],"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":[0.0002128355,0.00002288217,0.003053648,0.004685799,0.0001153236,0.0001010744,0.00006428379,0.0003836872,0.0004612935,0.002374534,0.9656218,0.02290282],"study_design_scores_gemma":[0.00008825066,0.0000155905,0.003053216,0.001182207,0.0000663409,0.0001990575,0.00006121474,0.0001760425,0.0002940472,0.002043576,0.9927989,0.00002155118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002943832,0.0007067791,0.0003962821,0.0002022521,0.000107458,0.00005244363,0.9935837,0.0006840262,0.003972488],"genre_scores_gemma":[0.001000706,0.0007112024,0.00131665,0.0003309239,0.00002890473,0.0001956378,0.9936358,0.0001900556,0.002590116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1421146,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269517638475507,"score_gpt":0.4603902529587205,"score_spread":0.4476950765739655,"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."}}