{"id":"W4390344793","doi":"10.1049/htl2.12071","title":"Breamy: An augmented reality mHealth prototype for surgical decision‐making in breast cancer","year":2023,"lang":"en","type":"article","venue":"Healthcare Technology Letters","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regret; Breast cancer; Anxiety; mHealth; Decision aids; Augmented reality; Clinical decision making; Cancer; Medicine; Computer science; Nursing; Family medicine; Human–computer interaction; Alternative medicine; Psychological intervention; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006442589,0.0006129029,0.0002692429,0.0003057428,0.0002201498,0.000707281,0.0008141816,0.0009855678,0.006651634],"category_scores_gemma":[0.003523258,0.0002190835,0.0003672607,0.0001568615,0.0002141669,0.0006146895,0.0009030917,0.0004945031,0.0009020928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364264,"about_ca_system_score_gemma":0.0003483742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006262058,"about_ca_topic_score_gemma":0.0008592395,"domain_scores_codex":[0.9996058,0.0001727968,0.00003074611,0.00004211835,0.0001073212,0.00004115736],"domain_scores_gemma":[0.9986123,0.001050361,0.00006533624,0.00007126978,0.0001009166,0.000099788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004415368,0.002522414,0.009378059,0.003164876,0.0001888319,0.003147052,0.006123152,0.005367853,0.1028709,0.001908185,0.0403019,0.8206114],"study_design_scores_gemma":[0.004725571,0.04421465,0.1899464,0.003127874,0.001675435,0.0231973,0.009461158,0.2201351,0.1384034,0.008864594,0.354062,0.002186641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7692333,0.00372833,0.1887046,0.002874083,0.0009253216,0.002599659,0.001972664,0.01440871,0.01555338],"genre_scores_gemma":[0.8536872,0.001364771,0.1323774,0.001060178,0.0001358942,0.001557798,0.0007430491,0.0001728012,0.008900937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006651634,"threshold_uncertainty_score":0.02225196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.206066686029053,"score_gpt":0.50021737523671,"score_spread":0.2941506892076569,"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."}}