{"id":"W4416047188","doi":"10.52442/jrcd.v6i03.150","title":"Knowledge And Attitude of Artificial Intelligence Among Medical And Dental Students of a Public Sector University of Karachi: A Cross-Sectional Study","year":2025,"lang":"","type":"article","venue":"Journal of Rehman College of Dentistry","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Stigma (botany); Public sector; Public health; Health care; Outcome (game theory); Baseline (sea)","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":[0.0008750307,0.0002767217,0.0005964235,0.001629738,0.001429775,0.001293045,0.0005247459,0.001075833,0.003598412],"category_scores_gemma":[0.002294056,0.0005583232,0.0005465199,0.001845152,0.0006949545,0.001161831,0.001027322,0.001026341,0.0007966191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007146526,"about_ca_system_score_gemma":0.000993131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007494326,"about_ca_topic_score_gemma":0.008857016,"domain_scores_codex":[0.9991817,0.0001169101,0.0001069843,0.0001008799,0.0002455684,0.0002478828],"domain_scores_gemma":[0.9981765,0.0003776561,0.000585987,0.00007646468,0.0003061912,0.000477175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004230211,0.0003555958,0.9948486,0.00005860556,0.00001906507,0.0001731313,0.002692645,0.00001889044,0.0001756736,0.00002196671,0.0001640976,0.001429318],"study_design_scores_gemma":[0.000007874918,0.0005198719,0.9809234,0.00005346223,0.00002790591,0.0004605453,0.01718812,0.0001457579,0.00008596199,0.00003574821,0.0005335413,0.00001782837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992098,0.00006842305,0.00002216942,0.0000836176,0.000003613136,0.00002497193,0.0001522472,0.000001371101,0.0004338459],"genre_scores_gemma":[0.9992633,0.0001268983,0.00004676507,0.0001134865,0.000006148768,0.0000382787,0.0001181872,9.832297e-7,0.0002857736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007494326,"threshold_uncertainty_score":0.0149014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067766125983711,"score_gpt":0.4352142940518193,"score_spread":0.3284376814534483,"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."}}