{"id":"W4231616337","doi":"10.1515/iupac.79.1407","title":"Histopathology","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; CAS Registry Number; Toxicology; Medicine; Chemistry; Philosophy; Biology; Linguistics","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":[0.001420005,0.001603735,0.001676096,0.003073649,0.0008607592,0.003096074,0.002911376,0.001945747,0.146009],"category_scores_gemma":[0.0107267,0.0005215766,0.001999035,0.003990498,0.0003500503,0.001806417,0.001800404,0.001550198,0.1420659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505536,"about_ca_system_score_gemma":0.002999264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257166,"about_ca_topic_score_gemma":0.02877417,"domain_scores_codex":[0.9983511,0.0002476434,0.0002686173,0.0006274808,0.0003140823,0.0001911475],"domain_scores_gemma":[0.9963456,0.001019234,0.000468505,0.0008987399,0.001046763,0.0002211976],"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":[0.0002940578,0.00003064971,0.003533902,0.002518737,0.0001142598,0.00006989042,0.00002978955,0.0003441812,0.0001883641,0.00083738,0.9731053,0.01893348],"study_design_scores_gemma":[0.0002565323,0.0000320697,0.006156079,0.001361809,0.0001288237,0.0002397025,0.00007777201,0.000253532,0.0003129033,0.002496594,0.9886534,0.0000307813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002612741,0.0004850856,0.0002438712,0.0001516124,0.00007440335,0.00004545141,0.9951476,0.0004151279,0.003175466],"genre_scores_gemma":[0.001013039,0.0004328212,0.0007663036,0.0003182749,0.00003186446,0.0001802884,0.9942526,0.00009942288,0.002905345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.146009,"threshold_uncertainty_score":0.4884487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097278690834288,"score_gpt":0.3681004443531053,"score_spread":0.3571276574447625,"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."}}