{"id":"W2921661436","doi":"10.5206/uwomj.v87i2.1179","title":"Cost-Effectiveness of Robotics and Artificial Intelligence in Healthcare","year":2019,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robotics; Artificial intelligence; Health care; Term (time); Computer science; Robot; Data science; Risk analysis (engineering); Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008060112,0.0004831771,0.0004403617,0.001746153,0.000466598,0.003224147,0.0006505334,0.001621718,0.004861928],"category_scores_gemma":[0.0289042,0.0002249588,0.0005767623,0.00132428,0.002204461,0.002809215,0.001936534,0.001038452,0.0003558906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457958,"about_ca_system_score_gemma":0.002487019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270962,"about_ca_topic_score_gemma":0.003122878,"domain_scores_codex":[0.9876531,0.008745432,0.0004394804,0.0002953999,0.002427759,0.0004388183],"domain_scores_gemma":[0.970899,0.02383514,0.001818519,0.0007464809,0.001753141,0.0009478243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00144382,0.0004362997,0.04002662,0.001804888,0.0008195886,0.0004368643,0.0005340866,0.03931058,0.0009872569,0.348042,0.008695151,0.5574628],"study_design_scores_gemma":[0.0004561751,0.00322333,0.1153501,0.00452243,0.001072909,0.003434679,0.004625846,0.06963541,0.003023576,0.6750385,0.1192722,0.0003447277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2729636,0.2163548,0.06117135,0.1276029,0.00237427,0.0004909617,0.0007308135,0.0001456495,0.3181657],"genre_scores_gemma":[0.9678904,0.01955486,0.007141293,0.001324579,0.0006094109,0.0001032025,0.00008072692,0.00001660815,0.003278894],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008060112,"threshold_uncertainty_score":0.04262644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1360271238056744,"score_gpt":0.3801668076785238,"score_spread":0.2441396838728495,"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."}}