{"id":"W2805227010","doi":"10.1503/cmaj.180580","title":"Drawing patients closer: five gentlemen","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; White (mutation); Composition (language); Visual arts; Art history; Art; Computer science; Medicine; Media studies; Literature; Sociology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004631395,0.002252493,0.001128578,0.001335714,0.0240559,0.006741,0.00318137,0.01020822,0.01839357],"category_scores_gemma":[0.02361526,0.001587311,0.001335097,0.001214565,0.008036832,0.007730083,0.006958238,0.02748443,0.005934346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003948348,"about_ca_system_score_gemma":0.004765477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009853647,"about_ca_topic_score_gemma":0.02968395,"domain_scores_codex":[0.9954131,0.00180818,0.0001677356,0.0005786999,0.000929558,0.001102616],"domain_scores_gemma":[0.9906856,0.0007015535,0.0002829865,0.0002733688,0.001156416,0.006899995],"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":[0.00008913512,0.0004006345,0.002356892,0.0001918222,0.00005986915,0.0201836,0.05709568,0.0001288878,0.0005022443,0.003123426,0.87797,0.03789786],"study_design_scores_gemma":[0.00006793148,0.0003688501,0.002580387,0.001092746,0.00005334205,0.03405565,0.1632219,0.0002214837,0.0003247763,0.004576836,0.7931997,0.0002364568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04922671,0.02814438,0.004130494,0.77118,0.1032154,0.0004109967,0.0001477453,0.0005432923,0.04300101],"genre_scores_gemma":[0.1917016,0.02209048,0.009485056,0.6165232,0.03748439,0.0007713734,0.0001933367,0.0008836606,0.1208671],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0240559,"threshold_uncertainty_score":0.06153262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006263342489133642,"score_gpt":0.2541259648557658,"score_spread":0.2478626223666322,"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."}}