{"id":"W3208032197","doi":"10.2196/25659","title":"Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Thematic analysis; Focus group; Cancer registry; Qualitative research; Population; Cancer; Think aloud protocol; Medicine; Breast cancer; Psychology; Computer science; Internal medicine; Usability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000561299,0.0003206892,0.0007559916,0.00007493051,0.000244524,0.00009706275,0.0003502771,0.00009424501,0.0005629346],"category_scores_gemma":[0.000281708,0.0002971165,0.00007083358,0.0003891244,0.0001776035,0.0003104486,0.0003544534,0.0004017693,0.000001372978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639058,"about_ca_system_score_gemma":0.0008112775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1279262,"about_ca_topic_score_gemma":0.2098211,"domain_scores_codex":[0.997481,0.0004993636,0.0004629108,0.000719962,0.0004471479,0.0003896554],"domain_scores_gemma":[0.9963998,0.001454445,0.0002719237,0.001092812,0.000578627,0.0002024165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002041329,0.0006569477,0.1914928,0.001419504,0.002348033,0.00003787992,0.5764689,0.000024658,0.002718215,0.0002905681,0.006166354,0.2163348],"study_design_scores_gemma":[0.009864072,0.0003844651,0.07761323,0.002048488,0.00164665,0.000004403862,0.7727194,0.001918244,0.001759835,0.0003072363,0.1306111,0.001122839],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497552,0.03035347,0.001904341,0.0015597,0.001120045,0.001540824,0.01346972,0.00008845172,0.0002082823],"genre_scores_gemma":[0.9583439,0.0126009,0.01313641,0.0007750114,0.001042809,0.009663921,0.001234211,0.0001142702,0.003088627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2152119,"threshold_uncertainty_score":0.9999481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4558050007935009,"score_gpt":0.5019215247105061,"score_spread":0.04611652391700521,"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."}}