{"id":"W4225317088","doi":"10.2196/35033","title":"Patient and Provider Perspectives on Enrollment in Precision Oncology Research: Qualitative Ethical Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Center for Advancing Translational Sciences; National Human Genome Research Institute; American Head and Neck Society","keywords":"Oncology; Internal medicine; Precision oncology; Precision medicine; Qualitative research; Context (archaeology); Enthusiasm; Medicine; Psychology; Medical education; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07906813,0.000757276,0.0008910979,0.002165211,0.01348253,0.007881217,0.002831203,0.003726699,0.00373037],"category_scores_gemma":[0.103154,0.001053803,0.0007139988,0.001708855,0.0196281,0.008409143,0.01051406,0.007498644,0.0004390805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065865,"about_ca_system_score_gemma":0.01517218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486702,"about_ca_topic_score_gemma":0.005198201,"domain_scores_codex":[0.8918111,0.09502529,0.002203986,0.002214084,0.00423423,0.004511356],"domain_scores_gemma":[0.8298106,0.1478768,0.006638243,0.00262824,0.00761042,0.005435876],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002613077,0.00003168537,0.001230676,0.0001221959,0.000003567212,0.0002458392,0.9930586,0.00003827932,0.0002672025,0.002392976,0.0004271323,0.002155718],"study_design_scores_gemma":[0.000005366908,0.00002525692,0.0002802353,0.0001342219,0.000002311058,0.0001109622,0.9949916,0.0001272144,0.000140082,0.000850387,0.003321695,0.00001069705],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546846,0.000945472,0.01393359,0.01979018,0.0002736173,0.001167333,0.0002679019,0.0000498663,0.008887565],"genre_scores_gemma":[0.9883221,0.0007638605,0.004550575,0.003279548,0.00004658948,0.001547946,0.00007072857,0.00003514077,0.001383658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962733,"threshold_uncertainty_score":0.4181572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699726222327686,"score_gpt":0.4567743267142423,"score_spread":0.3997770644909655,"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."}}