{"id":"W7107939964","doi":"10.14288/1.0450820","title":"Investigating unmet need for clinical genetic services in Canada","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Genetic counseling; Scope (computer science); Genetic testing; Public health; Data collection; Qualitative research; Reflexivity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01366394,0.0003879132,0.0009487623,0.009337625,0.007372421,0.005725184,0.002361225,0.001195383,0.003471005],"category_scores_gemma":[0.04875696,0.0005754837,0.001160386,0.02221953,0.002212085,0.001984633,0.003505399,0.001626081,0.0001564626],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1568824,"about_ca_system_score_gemma":0.421705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954106,"about_ca_topic_score_gemma":0.9969757,"domain_scores_codex":[0.987645,0.001842575,0.001395917,0.0009063363,0.006100114,0.002110088],"domain_scores_gemma":[0.9472196,0.01564001,0.005617744,0.0005612871,0.02577632,0.005184987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004796613,0.0001644864,0.4380492,0.04484765,0.001117217,0.003299679,0.1622593,0.000975373,0.0008658571,0.01899313,0.05707553,0.271873],"study_design_scores_gemma":[0.0001309724,0.0002236076,0.6289707,0.04289075,0.001126859,0.001051529,0.2011099,0.001339277,0.0005382341,0.002553279,0.1197147,0.0003501355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6393036,0.1895123,0.001589358,0.06570748,0.0006396081,0.001719686,0.02471892,0.0001033315,0.07670566],"genre_scores_gemma":[0.9251459,0.06051984,0.002347766,0.005650949,0.00006276216,0.0005447465,0.003294436,0.00002422634,0.002409259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8431176,"threshold_uncertainty_score":0.9778969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084320136657326,"score_gpt":0.2337088351594365,"score_spread":0.2228656337928632,"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."}}