{"id":"W4413039009","doi":"10.71000/9qnm8h14","title":"PERCEPTIONS OF MOLECULAR BIOMARKER TESTING IN CANCER DIAGNOSIS AMONG ONCOLOGY CLINICIANS","year":2025,"lang":"en","type":"article","venue":"Insights-Journal of Health and Rehabilitation","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Medicine; Thematic analysis; Biomarker; Precision oncology; Nonprobability sampling; Qualitative research; Medical education; Oncology; Family medicine; Nursing; Cancer; Internal medicine; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009873726,0.00007770174,0.0002494272,0.0002839144,0.00005680626,0.000007503424,0.0000952021,0.000154917,0.00000471155],"category_scores_gemma":[0.002041499,0.00006054023,0.00007088415,0.0002478314,0.0003337908,0.000008365104,0.00004188096,0.000149094,2.507704e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006383011,"about_ca_system_score_gemma":0.0008681705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974474,"about_ca_topic_score_gemma":0.0002940652,"domain_scores_codex":[0.9984226,0.0002469193,0.0008776932,0.0001172396,0.000165165,0.0001703829],"domain_scores_gemma":[0.9987504,0.000308181,0.0003246994,0.000100998,0.0003894806,0.0001262238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000168581,0.0004065504,0.5326548,0.0007191138,0.00005748963,0.000002937777,0.002151548,0.00008515079,0.03314846,0.00005161067,0.001686147,0.4288676],"study_design_scores_gemma":[0.002008345,0.006043921,0.9617383,0.000915812,0.00002668189,0.000006931547,0.006785664,0.0006401017,0.003207677,0.001341393,0.01712899,0.000156161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898522,0.005199595,0.0008730724,0.003387007,0.0001810015,0.0002011909,0.000005261457,0.00000137256,0.0002993265],"genre_scores_gemma":[0.9916802,0.0041224,0.003680752,0.0004289711,0.00003355232,0.00002180781,0.000006728599,0.000004439107,0.00002114851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290835,"threshold_uncertainty_score":0.2468759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007021698397263,"score_gpt":0.3910138095710047,"score_spread":0.3609435925870321,"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."}}