{"id":"W2140935358","doi":"","title":"The hero with a thousand faces visits the doctor.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Empathy and Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Storytelling; HERO; Computer science; Narrative; World Wide Web; Literature; Art; Artificial intelligence","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":[0.0004630324,0.0006455653,0.0004133561,0.0004913983,0.005587392,0.002704642,0.0007140144,0.002373094,0.2847548],"category_scores_gemma":[0.003650519,0.0003757523,0.0005214414,0.0003528296,0.001130822,0.003614297,0.003410707,0.005613024,0.1305574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00080799,"about_ca_system_score_gemma":0.0012476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006377748,"about_ca_topic_score_gemma":0.01465132,"domain_scores_codex":[0.9995359,0.0001346537,0.00001213077,0.00005157702,0.0001336853,0.0001319898],"domain_scores_gemma":[0.9988484,0.00009707092,0.00005719832,0.00004945893,0.0002391679,0.0007086776],"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":[0.00001401651,0.00001467538,0.000175747,0.00002454748,0.00000314898,0.0002892399,0.000527769,0.000006686791,0.00006366859,0.001814404,0.9776126,0.01945342],"study_design_scores_gemma":[0.000005857438,0.00001343149,0.0002724954,0.0001117698,0.00000321788,0.001171774,0.002057187,0.00001772572,0.00004247438,0.001029471,0.9952648,0.000009863423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.00460775,0.00983621,0.003437663,0.2701884,0.03642594,0.0001848776,0.001125794,0.001997869,0.6721956],"genre_scores_gemma":[0.02775098,0.006148856,0.003360579,0.1310336,0.004654432,0.0001296229,0.0004607848,0.0008785191,0.8255826],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2847548,"threshold_uncertainty_score":0.9525995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373696027893603,"score_gpt":0.2434302323818658,"score_spread":0.2296932721029298,"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."}}