{"id":"W4413515420","doi":"10.64628/aap.3d64h754t","title":"When laser surgery turns into a nightmare, the toll can be enormous","year":2020,"lang":"en","type":"article","venue":"","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nightmare; Toll; Medicine; Psychiatry","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":[0.003559298,0.0007786671,0.001184512,0.001214917,0.01064233,0.009171893,0.001023484,0.006353514,0.1281179],"category_scores_gemma":[0.02376468,0.0003322633,0.001151769,0.0008231194,0.006051634,0.007825476,0.008853475,0.0131674,0.03051555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003150842,"about_ca_system_score_gemma":0.004724455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005946834,"about_ca_topic_score_gemma":0.01023496,"domain_scores_codex":[0.9959754,0.001271393,0.0001059406,0.0002045285,0.001418437,0.001024276],"domain_scores_gemma":[0.9778089,0.005513935,0.00111015,0.0006777121,0.00254379,0.01234549],"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":[0.0002821343,0.0001603786,0.002308764,0.0002702315,0.00006382803,0.001216458,0.001787198,0.0001095251,0.0007343804,0.02159677,0.9086227,0.06284766],"study_design_scores_gemma":[0.00004212968,0.0001818554,0.00558295,0.0009008301,0.00002702828,0.001687241,0.02002318,0.0001218122,0.0002648591,0.03106854,0.9399636,0.0001359538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01167343,0.01686353,0.001176903,0.8367682,0.04604457,0.00002243141,0.000524306,0.0003254938,0.08660109],"genre_scores_gemma":[0.2705051,0.05029308,0.003227652,0.3588403,0.06586004,0.0001633426,0.0008811838,0.0007505997,0.2494787],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1281179,"threshold_uncertainty_score":0.4285972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698488872781403,"score_gpt":0.257587043827862,"score_spread":0.2106021551000479,"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."}}