{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01605596,0.0002389669,0.000442846,0.0006195292,0.003927215,0.004392355,0.000843637,0.001818656,0.00252209],"category_scores_gemma":[0.0528224,0.0004708873,0.0003125738,0.0006911313,0.00523525,0.002701293,0.00382796,0.002626567,0.0002647785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004470245,"about_ca_system_score_gemma":0.008070992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050096,"about_ca_topic_score_gemma":0.006593859,"domain_scores_codex":[0.9844851,0.01041658,0.0008164777,0.0006801331,0.002039248,0.001562395],"domain_scores_gemma":[0.952365,0.02989982,0.006308849,0.0006257822,0.004148887,0.006651622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001301149,0.0001211574,0.09765647,0.0005789151,0.00002270562,0.002152206,0.8773676,0.0001481715,0.001263568,0.001619205,0.002517578,0.0164224],"study_design_scores_gemma":[0.00002497763,0.0002683803,0.02248451,0.000655084,0.000017226,0.001438328,0.960399,0.0002814012,0.0002878808,0.0008756235,0.0132169,0.00005066031],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772209,0.001753967,0.0009727618,0.01505514,0.000146775,0.00008039096,0.00004582802,0.00001023392,0.004713931],"genre_scores_gemma":[0.9963521,0.0008548272,0.0003851228,0.002007192,0.00002433926,0.00003592573,0.00001394907,0.000004138492,0.0003223486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01605596,"threshold_uncertainty_score":0.08491302,"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."}}