{"id":"W4200160182","doi":"10.1503/cmaj.210359-f","title":"Hyperferritinémie","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Gynecology; Humanities; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001552886,0.0003034547,0.0004437784,0.0004043558,0.0005855958,0.0004413072,0.000233846,0.000600444,0.01402067],"category_scores_gemma":[0.0008549935,0.00006692508,0.0003476517,0.0003815608,0.0002480224,0.0001895527,0.0002638401,0.0009927423,0.002304276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007633389,"about_ca_system_score_gemma":0.0005418665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814922,"about_ca_topic_score_gemma":0.003045056,"domain_scores_codex":[0.999775,0.00004148584,0.00001660322,0.00004681625,0.00007229803,0.00004775528],"domain_scores_gemma":[0.9997458,0.00006763301,0.00005487477,0.0000207712,0.00003534042,0.00007558575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005003185,0.001440314,0.1348269,0.002377604,0.0007172095,0.04421183,0.0006419819,0.0005457549,0.07188184,0.009991633,0.09320032,0.6351614],"study_design_scores_gemma":[0.0008393256,0.00296197,0.2457684,0.001519677,0.000583344,0.1999254,0.0004630566,0.0009649529,0.02198479,0.008696155,0.5161966,0.00009631761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5249215,0.1893257,0.01025795,0.03551896,0.004040023,0.0005531639,0.005208444,0.001556358,0.2286181],"genre_scores_gemma":[0.9098954,0.02032357,0.002640866,0.009872286,0.001463687,0.0001581881,0.001901415,0.00008049763,0.05366398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402067,"threshold_uncertainty_score":0.04690385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147362579029373,"score_gpt":0.2355623875915023,"score_spread":0.228415025012473,"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."}}