{"id":"W7103479399","doi":"","title":"Perceived Challenges of Artificial Intelligence in 
\\nHealthcare among Undergraduate Medical Students at a 
\\nPublic Medical School in Sarawak, Malaysia","year":2024,"lang":"en","type":"article","venue":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Likert scale; Medical school; Qualitative research; Health care; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003722481,0.0001955067,0.0003434393,0.0005481996,0.001910503,0.002578842,0.0005598766,0.000756257,0.004033228],"category_scores_gemma":[0.007798898,0.0002693528,0.000329856,0.0004986621,0.001473389,0.00111785,0.002600788,0.001327228,0.0004975046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890532,"about_ca_system_score_gemma":0.005557196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007779167,"about_ca_topic_score_gemma":0.0167763,"domain_scores_codex":[0.997089,0.000983808,0.0003071569,0.0001866573,0.0007418654,0.0006916819],"domain_scores_gemma":[0.9902757,0.001440274,0.002506769,0.0001293725,0.001030367,0.004617452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008584753,0.0004149843,0.8846897,0.0003936612,0.00003742733,0.000716481,0.08180532,0.0001459614,0.001139587,0.0004821315,0.00377354,0.02631528],"study_design_scores_gemma":[0.00001426716,0.0007682738,0.6218525,0.000513746,0.00002020469,0.0008277894,0.3631887,0.0004700107,0.0004603596,0.0002323647,0.01159504,0.00005663672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956742,0.000313594,0.00006132976,0.002659563,0.00002964679,0.00002515615,0.00004386737,0.000003371053,0.001189337],"genre_scores_gemma":[0.9978135,0.0005075379,0.0001550528,0.000812864,0.00001417849,0.00002413078,0.00003943713,0.000001477041,0.0006318269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007779167,"threshold_uncertainty_score":0.01968658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287892617752458,"score_gpt":0.351058255661632,"score_spread":0.2981793294841074,"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."}}