{"id":"W4417101255","doi":"10.1155/ijbc/1932655","title":"Digital Health for Breast Care: Patient Satisfaction and Reducing Disparities through Telemedicine","year":2025,"lang":"en","type":"article","venue":"International Journal of Breast Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Telemedicine; Telehealth; Patient satisfaction; Digital health; Health care; Teledermatology; Patient experience","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":[0.002273641,0.00009905406,0.0002380652,0.0005937829,0.0004725606,0.001160691,0.0002707057,0.000505665,0.009293776],"category_scores_gemma":[0.00900805,0.00005714818,0.0005005532,0.001040533,0.0002727209,0.0006361542,0.001213197,0.000469014,0.0002661239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006185987,"about_ca_system_score_gemma":0.00130896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179126,"about_ca_topic_score_gemma":0.002478806,"domain_scores_codex":[0.9978924,0.00120911,0.0001622011,0.00008339158,0.000372689,0.0002800989],"domain_scores_gemma":[0.997071,0.001027163,0.000851393,0.00009101544,0.0002835275,0.0006758571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003499079,0.001158939,0.7262632,0.0006117553,0.0001937257,0.0001465008,0.001647184,0.0002508731,0.0004328486,0.002363389,0.007384835,0.2591968],"study_design_scores_gemma":[0.0001711494,0.001336119,0.967795,0.0007143075,0.0002403172,0.0007016575,0.007386218,0.002455371,0.0005444114,0.002173276,0.01645519,0.00002694696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592124,0.003173536,0.001299742,0.01472412,0.000112028,0.0001724333,0.0007659072,0.00003791998,0.02050189],"genre_scores_gemma":[0.9972972,0.0006147319,0.0005863705,0.0008143319,0.00005511496,0.00003768006,0.0001130769,0.000002876918,0.000478695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009293776,"threshold_uncertainty_score":0.03109074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132295209036771,"score_gpt":0.3617597151061154,"score_spread":0.3485301942024383,"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."}}