{"id":"W3038224807","doi":"10.1016/j.pec.2020.06.030","title":"How to know what to know: Information challenges for women in the diagnostic phase of breast cancer","year":2020,"lang":"en","type":"article","venue":"Patient Education and Counseling","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; St Mary's Hospital","funders":"","keywords":"Information needs; Thematic analysis; Information quality; Health care; General partnership; Information overload; Qualitative research; Breast cancer; Focus group; Medicine; Information system; Medical education; Computer science; Cancer; World Wide Web; Business","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":[0.01031709,0.0004112182,0.0005533445,0.001140524,0.008626156,0.007873186,0.001243682,0.002466897,0.003772145],"category_scores_gemma":[0.04335663,0.0004535663,0.0003898128,0.001340012,0.00805406,0.00734527,0.005854355,0.003135776,0.0006274661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005586054,"about_ca_system_score_gemma":0.01198726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02963635,"about_ca_topic_score_gemma":0.03140036,"domain_scores_codex":[0.989735,0.006987803,0.0004441038,0.0003575023,0.0013184,0.001157167],"domain_scores_gemma":[0.9660378,0.02704023,0.002604993,0.0005177397,0.001937609,0.00186172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003807891,0.00003056516,0.004693174,0.0003021236,0.000008252179,0.001111326,0.9743389,0.00002489173,0.0004208595,0.001475108,0.003219919,0.01433685],"study_design_scores_gemma":[0.000004633642,0.00003467379,0.002399513,0.0003050041,0.000008077909,0.0008345604,0.9707412,0.00003639623,0.0001295007,0.0009059482,0.02458551,0.00001506116],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8259304,0.01161127,0.005250853,0.106948,0.0006107852,0.0003212403,0.0003759599,0.0001058452,0.04884573],"genre_scores_gemma":[0.9793987,0.004591599,0.00262237,0.007181294,0.0001203303,0.0001100638,0.000143013,0.00004798154,0.005784605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02963635,"threshold_uncertainty_score":0.05892771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760933448599313,"score_gpt":0.417657876125228,"score_spread":0.3700485416392349,"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."}}