{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001368488,0.0004096651,0.0006988376,0.001543301,0.0003143891,0.00008107659,0.0007654224,0.0007645767,0.0009825811],"category_scores_gemma":[0.0009915926,0.0004308003,0.0002279047,0.001470909,0.00111424,0.0006917315,0.000348652,0.001405209,0.0001835078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394807,"about_ca_system_score_gemma":0.005273429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004795659,"about_ca_topic_score_gemma":0.004070148,"domain_scores_codex":[0.9937289,0.0003774405,0.001377629,0.0009904482,0.0027882,0.00073732],"domain_scores_gemma":[0.9972857,0.0004544129,0.0001988604,0.000512454,0.0004039137,0.001144688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001466892,0.002294221,0.7916323,0.002577359,0.0003446517,0.01536181,0.008153637,0.005923322,0.001092867,0.1209418,0.0004298273,0.04978134],"study_design_scores_gemma":[0.0006407604,0.001125832,0.6915473,0.01258902,0.0001858307,0.002127833,0.02512839,0.2554713,0.001426091,0.006932675,0.001642259,0.001182741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738156,0.002410193,0.0003970886,0.01525011,0.001329011,0.0007126242,0.00001089536,0.0001269671,0.005947563],"genre_scores_gemma":[0.9962327,0.001921358,0.0001500506,0.0003706245,0.0005457671,0.00004135036,0.00008529341,0.0000381721,0.0006146731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249548,"threshold_uncertainty_score":0.9999307,"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."}}