{"id":"W4389109824","doi":"10.5539/cis.v16n4p78","title":"Applying AI in the Healthcare Sector: Difficulties","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Health care; Applications of artificial intelligence; Feature (linguistics); Space (punctuation); Class (philosophy); Machine learning","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":[0.06063881,0.001218142,0.001822393,0.004504153,0.004101228,0.01293641,0.008627635,0.01024497,0.01453338],"category_scores_gemma":[0.108928,0.0009988116,0.001189491,0.005156401,0.01686871,0.01618352,0.009703063,0.01399564,0.009697187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009487048,"about_ca_system_score_gemma":0.01647225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237497,"about_ca_topic_score_gemma":0.006909886,"domain_scores_codex":[0.9505089,0.03026756,0.003003875,0.003466591,0.01071413,0.00203906],"domain_scores_gemma":[0.8514826,0.108119,0.004266368,0.004987695,0.02157023,0.009574141],"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":[0.0001843265,0.0004167551,0.003416688,0.004426786,0.0001310871,0.0008970681,0.004443747,0.006342899,0.0003393553,0.3402786,0.200818,0.4383048],"study_design_scores_gemma":[0.00009262463,0.000119004,0.002609917,0.006813016,0.00002945701,0.00173543,0.01313029,0.006929819,0.0003269869,0.596836,0.3712304,0.0001470587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0031233,0.09604288,0.01671419,0.8453048,0.004206737,0.000130859,0.0001614818,0.0001683085,0.0341474],"genre_scores_gemma":[0.3062518,0.3561061,0.07527244,0.2047213,0.03043784,0.001192124,0.0005977989,0.000493095,0.0249275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06063881,"threshold_uncertainty_score":0.3206925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04677459597548778,"score_gpt":0.3485930398069768,"score_spread":0.301818443831489,"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."}}