{"id":"W4234483492","doi":"10.2196/preprints.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 (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Trillium Health Centre; McGill University","funders":"","keywords":"Narrative; Breast cancer; Usability; Experiential learning; Qualitative research; Medical education; Medicine; Multimedia; Psychology; Computer science; Cancer; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01623426,0.0006448955,0.0005739461,0.001534155,0.002569456,0.002338579,0.001104275,0.0008241366,0.003147135],"category_scores_gemma":[0.02957876,0.0004428874,0.0007131263,0.001052779,0.001830241,0.00186843,0.00203468,0.0009394291,0.0005275916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003547995,"about_ca_system_score_gemma":0.006188546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196175,"about_ca_topic_score_gemma":0.02741647,"domain_scores_codex":[0.9940387,0.004303762,0.0003203433,0.0003832906,0.0005226212,0.0004313311],"domain_scores_gemma":[0.9698591,0.02433712,0.0007916158,0.0007439507,0.003414048,0.0008541997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005058777,0.001293411,0.01795831,0.003840285,0.00005937272,0.00175439,0.8197666,0.0004185231,0.0105933,0.001215853,0.007798974,0.1347951],"study_design_scores_gemma":[0.000383716,0.003552775,0.03598485,0.003280059,0.0002250029,0.001149689,0.8667046,0.002319261,0.01004494,0.00101792,0.07508036,0.0002567909],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729344,0.0004884452,0.01152967,0.001112926,0.0001296001,0.007358002,0.001340217,0.0001504908,0.004956286],"genre_scores_gemma":[0.9108385,0.001240612,0.06509524,0.001382485,0.00006172105,0.01322261,0.001132404,0.0001973588,0.006829018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623426,"threshold_uncertainty_score":0.08585602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2323466795369007,"score_gpt":0.5243252850175187,"score_spread":0.291978605480618,"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."}}