{"id":"W3005887281","doi":"10.3390/jpm10010009","title":"“Balancing Expectations with Actual Realities”: Conversations with Clinicians and Scientists in the First Year of a High-Risk Childhood Cancer Precision Medicine Trial","year":2020,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Health and Medical Research Council","keywords":"Precision medicine; Medicine; Workforce; Test (biology); Family medicine; Medical education; Pathology","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":[0.04538343,0.0008666649,0.001244353,0.001027295,0.0143061,0.009345744,0.002773115,0.006026152,0.00275448],"category_scores_gemma":[0.08354174,0.001408861,0.0008785315,0.000778284,0.01303392,0.008143837,0.01687093,0.0115689,0.0006496372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007392936,"about_ca_system_score_gemma":0.009926736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00803228,"about_ca_topic_score_gemma":0.01189263,"domain_scores_codex":[0.9455742,0.04418327,0.001650993,0.001879416,0.002349517,0.004362515],"domain_scores_gemma":[0.8900976,0.0783454,0.009959667,0.001597565,0.004112767,0.01588704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005521484,0.00003299813,0.002861976,0.0001096478,0.0000100108,0.0006090024,0.9928954,0.00002533476,0.0002958626,0.0004453826,0.0008702492,0.001788856],"study_design_scores_gemma":[0.00001166706,0.00006847484,0.001337021,0.0001402104,0.0000064303,0.0003614148,0.9916546,0.00005270425,0.0001628757,0.0003766334,0.005794351,0.00003355445],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742991,0.001584853,0.002346167,0.01576627,0.0004312017,0.0002537339,0.0001614235,0.00003547667,0.005121812],"genre_scores_gemma":[0.9869117,0.001077408,0.002096677,0.00757357,0.0001103298,0.0004674064,0.00009699906,0.00005334198,0.001612608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04538343,"threshold_uncertainty_score":0.2400134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752947870601433,"score_gpt":0.3005947465698011,"score_spread":0.2830652678637868,"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."}}