{"id":"W7116662635","doi":"10.2196/81346","title":"Patients’ Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Survey research; MEDLINE; Survey data collection","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002721761,0.000157262,0.0002430059,0.0002113881,0.0001402669,0.00009486295,0.00008361309,0.0001271472,0.0002016641],"category_scores_gemma":[0.0002447275,0.0001485626,0.0000375121,0.0005425392,0.0001185258,0.0001790637,0.00005307891,0.000284594,0.00001171835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205652,"about_ca_system_score_gemma":0.0006210507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06417101,"about_ca_topic_score_gemma":0.09353256,"domain_scores_codex":[0.9983607,0.00009098041,0.000549882,0.0004605058,0.000256865,0.0002810515],"domain_scores_gemma":[0.9988222,0.0001985706,0.00007671004,0.000202665,0.0006033423,0.00009653036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003602473,0.000568059,0.9451501,0.0001714622,0.00002894969,0.000002118448,0.003813501,0.0001063767,0.00001699317,0.00007384508,0.0001455665,0.04956272],"study_design_scores_gemma":[0.00007421008,0.0002091416,0.9973187,0.0001325537,0.000009617406,2.865111e-7,0.001051548,0.00005376288,0.0005912073,0.0001421253,0.000292526,0.000124311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995737,0.0009460793,0.00004724503,0.0003091959,0.001586587,0.001234907,0.00005207725,0.00003001837,0.00005694756],"genre_scores_gemma":[0.9977369,0.0003014718,0.00002536361,0.0004785221,0.0002822222,0.0007760861,0.00004045466,0.00001413321,0.0003448556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05216855,"threshold_uncertainty_score":0.9420608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3022777381815626,"score_gpt":0.5259587086398573,"score_spread":0.2236809704582947,"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."}}