{"id":"W4253183945","doi":"10.1515/iupac.79.1392","title":"Hemoglobinuria","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; CAS Registry Number; Computer science; Clinical toxicology; Toxicology; Library science; 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":[0.0007909061,0.001138534,0.001530871,0.002447946,0.0005162508,0.001582974,0.001546443,0.001259159,0.06345541],"category_scores_gemma":[0.008507489,0.0003693425,0.001228115,0.003928983,0.0001858038,0.001073226,0.0009155382,0.00123741,0.03192882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007634734,"about_ca_system_score_gemma":0.001258705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009924961,"about_ca_topic_score_gemma":0.01661683,"domain_scores_codex":[0.9991058,0.0001208975,0.0002115693,0.000340605,0.0001370348,0.0000841641],"domain_scores_gemma":[0.9974457,0.0007203173,0.0005619456,0.0005056064,0.0005872973,0.0001791463],"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":[0.0008066612,0.00005638189,0.01593422,0.002464017,0.0002669401,0.0001378544,0.00003538226,0.0002433521,0.0001981086,0.0005994034,0.9605559,0.01870167],"study_design_scores_gemma":[0.001283517,0.0001182132,0.08660217,0.003200073,0.0006046233,0.001491105,0.0001570969,0.0007180435,0.0006587429,0.00389532,0.9011548,0.0001164487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008657484,0.0005009908,0.0001264345,0.0001051451,0.00004851897,0.00003631672,0.9964443,0.0001528,0.001719747],"genre_scores_gemma":[0.003151122,0.0005231314,0.0005083235,0.000283596,0.00004738688,0.0002144743,0.9934987,0.0000558788,0.001717459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06345541,"threshold_uncertainty_score":0.2122795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005040666316142688,"score_gpt":0.3191004400230217,"score_spread":0.314059773706879,"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."}}