{"id":"W4408295663","doi":"10.3390/curroncol32030155","title":"Barriers and Facilitators to Delivering Multifactorial Risk Assessment and Communication for Personalized Breast Cancer Screening: A Qualitative Study Exploring Implementation in Canada","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; McGill University; Université Laval; Ministère de la Santé et des Services Sociaux (Québec); Sunnybrook Health Science Centre; Women's College Hospital; Cancer Care Ontario; Public Health Ontario; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Cancer Research UK; Genome Canada","keywords":"Medicine; Risk assessment; Thematic analysis; Focus group; Breast cancer; Qualitative research; Risk management tools; Scale (ratio); Population; Family medicine; Environmental health; Cancer; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.02008568,0.0004023519,0.0007838861,0.001320723,0.01370546,0.004209655,0.002303264,0.001353721,0.002405283],"category_scores_gemma":[0.03310268,0.0007068773,0.0005315319,0.001969756,0.006534645,0.002043994,0.004593107,0.001994104,0.000165232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04550189,"about_ca_system_score_gemma":0.1055551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7209913,"about_ca_topic_score_gemma":0.7563059,"domain_scores_codex":[0.985415,0.008551155,0.0005434809,0.0008617236,0.001628721,0.002999908],"domain_scores_gemma":[0.9620875,0.02532339,0.002349888,0.0007865935,0.005049582,0.004403108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004515725,0.00006704468,0.008602438,0.0001872564,0.000006015813,0.0003353451,0.982139,0.00007793207,0.0005479947,0.0006486297,0.0003775681,0.006965623],"study_design_scores_gemma":[0.00001253125,0.00007681931,0.007487455,0.0003248957,0.0000123218,0.00008491096,0.9856236,0.0002373139,0.0003661026,0.0001682012,0.005574516,0.00003135591],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904454,0.0004137014,0.001685174,0.003518825,0.00002714651,0.0004518519,0.0001427542,0.00002429059,0.003290806],"genre_scores_gemma":[0.9957893,0.0004919963,0.001514831,0.0006068439,0.000005059248,0.0003059943,0.0000336004,0.00001728621,0.001234977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790087,"threshold_uncertainty_score":0.5613036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2572856837780595,"score_gpt":0.5473223790752823,"score_spread":0.2900366952972228,"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."}}