{"id":"W1991206625","doi":"10.1503/cmaj.109-4371","title":"The perils of diagnostic inflation","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Inflation (cosmology); Psychiatry; Medicine; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1799708,0.0008185164,0.001678656,0.007158239,0.004880253,0.0108838,0.005451601,0.01066792,0.01172422],"category_scores_gemma":[0.5951502,0.0008026861,0.001468734,0.006116064,0.02175207,0.01554034,0.007867925,0.01987407,0.003520798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01469181,"about_ca_system_score_gemma":0.01792099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182487,"about_ca_topic_score_gemma":0.0221594,"domain_scores_codex":[0.8433092,0.06046148,0.01138787,0.01229166,0.0677245,0.004825276],"domain_scores_gemma":[0.4502786,0.3526843,0.02321611,0.03552559,0.1167741,0.02152134],"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":[0.0002113739,0.00003903395,0.00630336,0.0003516329,0.00007965614,0.0001005056,0.001588549,0.0001830627,0.00009190129,0.1968284,0.6945468,0.09967566],"study_design_scores_gemma":[0.0002504069,0.0001011135,0.01276688,0.003219435,0.00009831949,0.0008319988,0.002805267,0.001786798,0.0002892489,0.3406828,0.6369476,0.0002201233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002308345,0.005644618,0.003127297,0.9585708,0.01896066,0.00003502053,0.0003337687,0.0001529109,0.01086673],"genre_scores_gemma":[0.08879467,0.006316283,0.0107435,0.8298388,0.05760179,0.000276862,0.0005854041,0.0004447353,0.00539803],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1799708,"threshold_uncertainty_score":0.9517879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059189348503821,"score_gpt":0.3685295104040974,"score_spread":0.3279376169190591,"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."}}