{"id":"W4294992268","doi":"10.1111/jep.13758","title":"Invisibility, cloaks and daggers: Balancing clinical hazards in the age of artificial intelligence","year":2022,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Invisibility; Medicine; Computer science; Artificial intelligence","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":[0.1041216,0.001342764,0.001456762,0.005375038,0.01504905,0.03163024,0.004794275,0.02165647,0.008784455],"category_scores_gemma":[0.1957377,0.001529739,0.00111879,0.00252496,0.1010447,0.05893693,0.02708605,0.02618372,0.002864713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009749492,"about_ca_system_score_gemma":0.01566196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788393,"about_ca_topic_score_gemma":0.004184087,"domain_scores_codex":[0.9175315,0.05941698,0.002616064,0.005129873,0.0123275,0.002978061],"domain_scores_gemma":[0.7741639,0.1820763,0.008509562,0.01365257,0.01080111,0.01079654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003309107,0.000105503,0.003518292,0.0008609444,0.00007415427,0.001612175,0.07868209,0.0005857306,0.0003305199,0.6978558,0.06982747,0.1462165],"study_design_scores_gemma":[0.00006825099,0.0001295463,0.0004067045,0.001646711,0.00003197963,0.00164288,0.02058723,0.0006236834,0.0003241857,0.730271,0.2441792,0.00008869592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007397653,0.03485164,0.03939918,0.8772942,0.006556054,0.00008403321,0.00003179676,0.0002456343,0.03413973],"genre_scores_gemma":[0.5258401,0.0372501,0.06843325,0.3303994,0.01533183,0.0007886464,0.00007791879,0.0008993605,0.02097955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1041216,"threshold_uncertainty_score":0.5506539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4994171818444627,"score_gpt":0.6266634179482069,"score_spread":0.1272462361037442,"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."}}