{"id":"W4399900317","doi":"10.59400/cai.v2i1.416","title":"Revolutionizing Neurosurgery and Neurology: The transformative impact of artificial intelligence in healthcare","year":2024,"lang":"en","type":"article","venue":"Computing and artificial intelligence.","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Transformative learning; Health care; Modalities; Workflow; Intervention (counseling); Artificial intelligence; Medicine; Psychology; Computer science; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231506,0.0002340801,0.0004088013,0.0003755219,0.0002925881,0.0001102434,0.0001070568,0.0001657312,0.00002846966],"category_scores_gemma":[0.0003622565,0.000172556,0.0001476083,0.0009269689,0.0005304276,0.0001533967,0.0000537428,0.0007574863,0.00001536058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006926842,"about_ca_system_score_gemma":0.0003252675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431375,"about_ca_topic_score_gemma":0.0002642609,"domain_scores_codex":[0.99749,0.0002076239,0.001164234,0.000466067,0.0002114836,0.0004605174],"domain_scores_gemma":[0.998245,0.001077828,0.0001211168,0.0002222227,0.0001675151,0.0001663128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001989423,0.00008886841,0.007119218,0.0003227727,0.00002603966,0.00002715042,0.008679176,0.0007059764,0.0005322127,0.02397564,0.0000349143,0.9582891],"study_design_scores_gemma":[0.0000119597,0.001582544,0.01587109,0.001287858,0.0000785801,0.0004095495,0.007309244,0.8163948,0.01497178,0.1415392,0.0001244831,0.0004189251],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624324,0.004220915,0.0179367,0.0138853,0.0008338094,0.0005239403,0.000008585687,0.00008236066,0.00007595166],"genre_scores_gemma":[0.998096,0.0008529172,0.0002241878,0.0003981357,0.0003829623,0.00001035108,0.000007989324,0.00002216505,0.000005270341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9578702,"threshold_uncertainty_score":0.7036629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412206506655209,"score_gpt":0.4254038011781672,"score_spread":0.2841831505126463,"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."}}