{"id":"W3134917835","doi":"10.1148/ryai.2021210005","title":"Toward a More Quantitative and Specific Representation of Normality","year":2021,"lang":"en","type":"letter","venue":"Radiology Artificial Intelligence","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache","funders":"","keywords":"Generalizability theory; Artificial intelligence; Representation (politics); Medical imaging; Normality; Set (abstract data type); Medical diagnosis; Benchmarking; Computer science; Psychology; Medical education; Medicine; Radiology; Social psychology; Management; Political science; Politics","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":[0.006650793,0.0005154707,0.0006953813,0.002538015,0.001041688,0.008792302,0.001831083,0.005071269,0.005075537],"category_scores_gemma":[0.02824055,0.0003448068,0.0006865138,0.001031425,0.006155678,0.009148203,0.002672724,0.008750615,0.002295066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569807,"about_ca_system_score_gemma":0.001777402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582142,"about_ca_topic_score_gemma":0.003391743,"domain_scores_codex":[0.9954458,0.002404143,0.0004746325,0.0003403184,0.001157256,0.0001778643],"domain_scores_gemma":[0.9825324,0.007808879,0.001023703,0.002313476,0.005651484,0.0006700924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004931552,0.00005896106,0.00213358,0.0001432174,0.00002754112,0.0002752902,0.0004040729,0.00261772,0.001124402,0.7996461,0.1180646,0.07545513],"study_design_scores_gemma":[0.00002407256,0.00005485777,0.001003319,0.0001860046,0.00001886797,0.001453465,0.0007819282,0.02803503,0.001286598,0.8143752,0.1527233,0.00005743608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.004518295,0.001129404,0.5474881,0.3765279,0.00448492,0.0001223583,0.0006362694,0.001096762,0.06399588],"genre_scores_gemma":[0.2832774,0.002412011,0.5585009,0.1066158,0.01311711,0.0004704765,0.001112377,0.0004603018,0.03403348],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.008792302,"threshold_uncertainty_score":0.03517318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2049823425090261,"score_gpt":0.4081260180698439,"score_spread":0.2031436755608177,"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."}}