{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006770885,0.00008553558,0.0001533511,0.0001787695,0.0001302118,0.00001528471,0.0000834394,0.000104775,0.0001300885],"category_scores_gemma":[0.0001634898,0.0000820629,0.00005852371,0.0003308623,0.0001040408,0.000001314017,0.0002905662,0.000434652,0.000001170601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088179,"about_ca_system_score_gemma":0.00024558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005144443,"about_ca_topic_score_gemma":0.001062812,"domain_scores_codex":[0.9983833,0.000553806,0.0001624825,0.0004303887,0.0002666775,0.0002033858],"domain_scores_gemma":[0.9993968,0.0002046738,0.00005324807,0.0001910097,0.00009267648,0.00006156538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01310543,0.004133942,0.02026829,0.00009566391,0.002011058,0.0001272,0.5713599,0.03800648,0.09975176,0.01162709,0.07599796,0.1635153],"study_design_scores_gemma":[0.003318392,0.01074937,0.02416977,0.00002987002,0.0001044079,0.000004836055,0.1989581,0.000768361,0.008733192,0.00189162,0.7506198,0.0006522578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929484,0.002480934,0.00002354079,0.003048209,0.00007249587,0.0004306882,0.000102226,0.000002690694,0.0008908628],"genre_scores_gemma":[0.9967713,0.0008976405,0.00009922735,0.000816299,0.00007211781,0.001150852,0.00002893269,0.00001027239,0.0001533625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746218,"threshold_uncertainty_score":0.3346428,"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."}}