{"id":"W4413425700","doi":"10.2196/74010","title":"Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Cancer; Psychology; Medicine; Artificial intelligence; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02588175,0.001524135,0.005669048,0.0196927,0.00149494,0.005802884,0.002751512,0.004389843,0.00542959],"category_scores_gemma":[0.127094,0.001411841,0.005530744,0.02341108,0.001984044,0.004631855,0.002942198,0.00228888,0.0006050674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006682465,"about_ca_system_score_gemma":0.02646813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00951736,"about_ca_topic_score_gemma":0.01769343,"domain_scores_codex":[0.9770846,0.009138379,0.008571988,0.001014104,0.003756848,0.000434163],"domain_scores_gemma":[0.8844278,0.09354211,0.01119959,0.00131822,0.008890925,0.0006213813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008339646,0.00002802766,0.000701013,0.9007168,0.002202171,0.0001075577,0.001064637,0.0001441037,0.00007867863,0.0009449494,0.003658799,0.09026991],"study_design_scores_gemma":[0.00002143029,0.00003654677,0.0006972736,0.9803519,0.004589786,0.0001063026,0.0004597816,0.0000389176,0.00004736418,0.0003111234,0.0133262,0.0000133549],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006793453,0.9964164,0.0002421376,0.0008744167,0.0002057336,0.0004727827,0.0002448239,0.000008138606,0.0008562313],"genre_scores_gemma":[0.006700915,0.9907125,0.0007039373,0.0006246673,0.00009625968,0.0008756156,0.0001854789,0.000005025277,0.00009561566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02588175,"threshold_uncertainty_score":0.1368774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3631906479841935,"score_gpt":0.5847468948321952,"score_spread":0.2215562468480017,"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."}}