{"id":"W4307306534","doi":"10.1097/acm.0000000000004935","title":"Artist’s Statement: I Miss All Your Beautiful Faces, Portrait #4","year":2022,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Portrait; Narrative; Visual arts; White (mutation); Face (sociological concept); Coronavirus disease 2019 (COVID-19); Statement (logic); Art; Aesthetics; Psychology; Sociology; Medicine; Literature; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007356731,0.00119977,0.0003860592,0.0008845954,0.003494774,0.005412018,0.0009539316,0.002187,0.1922977],"category_scores_gemma":[0.005978306,0.0003354198,0.0004834003,0.0005611142,0.001598905,0.002822373,0.002119339,0.004400807,0.07499401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433011,"about_ca_system_score_gemma":0.0005837802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00401448,"about_ca_topic_score_gemma":0.007131631,"domain_scores_codex":[0.9994246,0.0001072472,0.00002287689,0.00009731272,0.0002973799,0.00005068359],"domain_scores_gemma":[0.9990163,0.0002786621,0.00005910277,0.00011573,0.0003979396,0.0001323532],"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":[0.00001268845,0.000003634851,0.00004229617,0.0000297894,0.000001139376,0.00008052271,0.0006314549,0.00002647836,0.0002185263,0.002877167,0.9905257,0.005550522],"study_design_scores_gemma":[0.000002133524,0.000004415844,0.0001023525,0.00006615493,0.000001329366,0.0003328838,0.000405222,0.00005435558,0.0001366155,0.0003007364,0.9985889,0.000004906571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00346098,0.005310454,0.003242146,0.07459961,0.1115963,0.0001678572,0.001539646,0.001569125,0.7985138],"genre_scores_gemma":[0.03192302,0.00279586,0.00195504,0.01875747,0.01504747,0.000139255,0.0007195034,0.002088173,0.9265741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1922977,"threshold_uncertainty_score":0.6432999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136780842629358,"score_gpt":0.3145896566857677,"score_spread":0.2009115724228319,"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."}}