{"id":"W4401523696","doi":"10.1503/cmaj.240513","title":"No easy fix","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Methemoglobinemia and Tumor Lysis Syndrome","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001723227,0.001660411,0.001000873,0.001172306,0.002704931,0.004655585,0.002501616,0.005408162,0.5274065],"category_scores_gemma":[0.01854824,0.000440039,0.001418871,0.0004151575,0.001215868,0.00547529,0.004389491,0.006176009,0.4504157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123125,"about_ca_system_score_gemma":0.002590706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898234,"about_ca_topic_score_gemma":0.005734777,"domain_scores_codex":[0.9981901,0.0003869408,0.00009649991,0.0003300201,0.0006077737,0.0003885703],"domain_scores_gemma":[0.9917446,0.0006556759,0.0002924374,0.0005140507,0.002854122,0.003939183],"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":[0.00003539962,0.00005821013,0.0003047143,0.00009734437,0.000006887562,0.0003770116,0.0001360286,0.00002586187,0.0001441736,0.001173422,0.933156,0.06448501],"study_design_scores_gemma":[0.00002162603,0.00004740985,0.0003088831,0.0003798741,0.000006990425,0.001467816,0.0004781152,0.0000323953,0.00008171532,0.002255899,0.9948944,0.00002497868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.003234374,0.01182021,0.01399772,0.3038141,0.1038544,0.0007373468,0.003038143,0.01069964,0.548804],"genre_scores_gemma":[0.0114314,0.009286315,0.01057527,0.1883121,0.01850613,0.0006396336,0.00225002,0.002454991,0.7565441],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5274065,"threshold_uncertainty_score":0.6740973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007637174375925196,"score_gpt":0.2499859384423573,"score_spread":0.2423487640664321,"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."}}