{"id":"W4386869120","doi":"10.33424/futurum426","title":"How can intelligent systems revolutionise healthcare?","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Health care; Computer science; Healthcare system; Data science; Political science","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":[0.007499688,0.001084346,0.0008412853,0.001267514,0.001530223,0.008992207,0.001406975,0.007269309,0.01141757],"category_scores_gemma":[0.01515872,0.0004354244,0.0009532193,0.0008156108,0.00858588,0.01816032,0.003479565,0.006872934,0.006488647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835135,"about_ca_system_score_gemma":0.002095975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030254,"about_ca_topic_score_gemma":0.001519774,"domain_scores_codex":[0.9963761,0.001642465,0.0001129626,0.0003041084,0.001112206,0.0004521356],"domain_scores_gemma":[0.9926852,0.004658368,0.0003028675,0.0007431737,0.0009625237,0.0006478915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001383255,0.0001324945,0.0007710906,0.0008397633,0.0001480011,0.0001520176,0.0008220734,0.002030137,0.0007799888,0.7370535,0.1431615,0.1139711],"study_design_scores_gemma":[0.0000317296,0.00006027827,0.000332791,0.0005676055,0.00003647008,0.000142907,0.0005633336,0.001455493,0.0004755,0.5743911,0.421905,0.0000377612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004264891,0.1304377,0.03099944,0.718684,0.01053915,0.00005054142,0.0002289599,0.0006714051,0.104124],"genre_scores_gemma":[0.3388376,0.2912743,0.06353477,0.2200907,0.02899021,0.0002918299,0.0005043928,0.0005187846,0.05595756],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01141757,"threshold_uncertainty_score":0.03966266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744239037495642,"score_gpt":0.4840716380700765,"score_spread":0.2096477343205123,"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."}}