{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001170433,0.0001107139,0.0002816127,0.0002023249,0.00007250837,0.00003894603,0.00004793071,0.0000327017,0.00006383439],"category_scores_gemma":[0.00004840185,0.00008902088,0.00007029022,0.00009445757,0.00005491881,0.0003313482,0.0000239117,0.0001501064,2.928527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928184,"about_ca_system_score_gemma":0.0005790134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003091,"about_ca_topic_score_gemma":0.0000956158,"domain_scores_codex":[0.9986323,0.0000143194,0.0006443681,0.0001330077,0.0004055896,0.0001704238],"domain_scores_gemma":[0.9984444,0.00007450389,0.0004159088,0.00006308495,0.0008951316,0.0001069487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008887642,0.00004146109,0.1503742,0.0002109105,0.0002288522,0.000008055491,0.0008308792,0.000009819071,0.0000954034,0.0003099784,0.009547101,0.8374546],"study_design_scores_gemma":[0.005214874,0.0005844729,0.9602915,0.001576536,0.0001058016,0.002356295,0.003057982,0.00004046369,0.0001401271,0.0004508116,0.02609518,0.000085929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7556955,0.006346377,0.008080781,0.2226639,0.00427409,0.0008850916,0.001353063,0.00003253551,0.0006687503],"genre_scores_gemma":[0.9930148,0.0008606708,0.0007208533,0.004277932,0.0009776388,0.00002158794,0.00004159417,0.00001129208,0.00007364115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8373687,"threshold_uncertainty_score":0.3630166,"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."}}