{"id":"W3154132051","doi":"10.2196/22970","title":"Using a Mobile App–Based Video Recommender System of Patient Narratives to Prepare Women for Breast Cancer Surgery: Development and Usability Study Informed by Qualitative Data","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Trillium Health Centre; McGill University","funders":"Réseau de cancérologie Rossy; Fondation du cancer du sein du Québec; McGill University","keywords":"Usability; Breast cancer; Experiential learning; Narrative; Medical education; Medicine; Qualitative research; Multimedia; Psychology; Computer science; Cancer; Pedagogy","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":[0.01361057,0.0006754529,0.0005510726,0.001557634,0.001927292,0.001837865,0.001069197,0.0007551857,0.001918954],"category_scores_gemma":[0.0247444,0.0004065188,0.0006663056,0.0008357797,0.001461367,0.001688292,0.001784281,0.0008015308,0.0003400292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067989,"about_ca_system_score_gemma":0.003610585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005408577,"about_ca_topic_score_gemma":0.01393093,"domain_scores_codex":[0.9945483,0.004016213,0.000268464,0.0003465456,0.0004671774,0.0003534588],"domain_scores_gemma":[0.9770095,0.01877312,0.0006649774,0.0006356748,0.002310619,0.0006061066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007369044,0.001945503,0.02672981,0.004673517,0.00009461946,0.002701866,0.6916873,0.000758671,0.01950784,0.001434626,0.006115883,0.2436135],"study_design_scores_gemma":[0.0005626727,0.00691871,0.05563412,0.004257848,0.0004403644,0.002997385,0.808151,0.006567914,0.01886668,0.001700316,0.09350228,0.0004007113],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772285,0.0004517901,0.0125869,0.0006233961,0.00007686448,0.004801529,0.0006972516,0.0001443088,0.003389456],"genre_scores_gemma":[0.9158164,0.001026735,0.0696875,0.0007461672,0.0000405376,0.007652105,0.0006670515,0.0001594158,0.004204186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361057,"threshold_uncertainty_score":0.07198042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719390976663464,"score_gpt":0.489700245252673,"score_spread":0.3177611475863266,"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."}}