{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001042861,0.0002793257,0.0002668648,0.0000159494,0.00004925662,0.00002103132,0.0003941785,0.0002550873,0.0372856],"category_scores_gemma":[0.0001468011,0.0002226079,0.0001029498,0.00009795957,0.0001394496,0.00005899266,0.0003033164,0.0003263664,0.00002393151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004926561,"about_ca_system_score_gemma":0.00003418566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005943386,"about_ca_topic_score_gemma":0.0000518956,"domain_scores_codex":[0.9984043,0.000008303369,0.0002246835,0.0003778699,0.0006548453,0.0003300294],"domain_scores_gemma":[0.9992048,0.00003746848,0.00007549067,0.0004945424,0.00001350321,0.0001742351],"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":[0.00001019758,0.00004826175,0.000006232273,0.0000393128,0.0000129262,0.00004508916,0.00000154848,0.00001165944,0.002813336,2.225894e-7,0.9949131,0.002098103],"study_design_scores_gemma":[0.0002150954,0.00001996406,0.00001212402,0.0001132924,0.00002531074,0.00002011591,0.000001891503,0.000005411044,0.002728821,0.00005109877,0.996491,0.0003158493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005068968,0.00006333017,0.0000453239,0.0001848018,0.0001840939,0.000061126,0.9982431,0.00005592782,0.000655406],"genre_scores_gemma":[0.0001819647,0.0002413397,0.00002560489,0.0001014107,0.0003803613,0.000004804464,0.9982209,0.00002149218,0.0008221844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03726167,"threshold_uncertainty_score":0.9635944,"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."}}