{"id":"W4247574854","doi":"10.1515/iupac.79.1815","title":"Pneumonitis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0009059358,0.001384713,0.00190871,0.002521112,0.0004857565,0.00188302,0.001805717,0.00155544,0.06937682],"category_scores_gemma":[0.009167747,0.0003913954,0.002221511,0.003337743,0.0002262606,0.001375862,0.001266163,0.001382738,0.03246709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115201,"about_ca_system_score_gemma":0.001897182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008828458,"about_ca_topic_score_gemma":0.01877478,"domain_scores_codex":[0.9986088,0.0001866782,0.0003996255,0.0004617149,0.0002274456,0.0001157783],"domain_scores_gemma":[0.9963034,0.00107351,0.001003324,0.0006194928,0.0007669716,0.0002331372],"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":[0.001183404,0.00006631273,0.0176725,0.01005395,0.0006009014,0.0001525816,0.00003287631,0.0005192615,0.000245828,0.0008458429,0.9427907,0.02583588],"study_design_scores_gemma":[0.002115612,0.0001768111,0.08664298,0.007253035,0.001086969,0.001363331,0.000144359,0.001040201,0.0008485283,0.00372398,0.8954656,0.0001387072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005020088,0.0006809297,0.00009785416,0.00009203213,0.00003853999,0.00006720866,0.996768,0.0001190708,0.001634295],"genre_scores_gemma":[0.002645524,0.0006599199,0.0003734218,0.0002451031,0.00004443537,0.000342236,0.9942754,0.00003658808,0.001377308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06937682,"threshold_uncertainty_score":0.2320886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005525234930639011,"score_gpt":0.3203852990821479,"score_spread":0.3148600641515089,"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."}}