{"id":"W4229780309","doi":"10.1515/iupac.79.1444","title":"Hypoxemia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Clinical toxicology; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Linguistics; Biology; 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":[0.0008579805,0.001239169,0.001626668,0.002136271,0.00049455,0.001749941,0.001393063,0.00119087,0.05319947],"category_scores_gemma":[0.0075758,0.0003267291,0.00183678,0.002980509,0.0001905308,0.001293401,0.001021998,0.001382857,0.02573556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008219946,"about_ca_system_score_gemma":0.001368881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007026598,"about_ca_topic_score_gemma":0.01230026,"domain_scores_codex":[0.9988079,0.0001699846,0.0003436006,0.0003951258,0.0001822337,0.0001011025],"domain_scores_gemma":[0.9973062,0.0007686102,0.0006615183,0.0004644545,0.0006261165,0.0001731559],"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":[0.001847784,0.00008729286,0.02283608,0.007795268,0.0006396052,0.0001643458,0.00005541353,0.0004716191,0.0003879714,0.000925548,0.9320449,0.03274407],"study_design_scores_gemma":[0.002019308,0.0001970277,0.09900613,0.005282456,0.001054381,0.001205856,0.0001925719,0.0009781772,0.001108902,0.004396528,0.8843912,0.000167347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009576147,0.000941088,0.0001810044,0.0001247146,0.0000900926,0.00009990104,0.9946567,0.0001800833,0.002768747],"genre_scores_gemma":[0.004782056,0.0009597783,0.0006020665,0.0003550154,0.00008529652,0.0005855025,0.9905581,0.00005454867,0.002017485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05319947,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956470643007089,"score_gpt":0.4163697661133794,"score_spread":0.3968050596833085,"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."}}