{"id":"W2568361028","doi":"10.2196/cancer.6750","title":"Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overdiagnosis; Prostate cancer; Calculator; Usability; Medicine; Mobile phone; Gynecology; Cancer; Computer science; Internal medicine; Telecommunications; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00612093,0.0008861662,0.0005823047,0.0006580383,0.0003483717,0.00121498,0.0008057035,0.0007359767,0.003459358],"category_scores_gemma":[0.01813919,0.0004653455,0.0006716483,0.0002411682,0.0003957129,0.0009519014,0.0009697949,0.0006377277,0.001315291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003754703,"about_ca_system_score_gemma":0.001065733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696796,"about_ca_topic_score_gemma":0.002215614,"domain_scores_codex":[0.9974999,0.00111031,0.0003528336,0.0004142855,0.0004602207,0.0001625358],"domain_scores_gemma":[0.9909288,0.005934638,0.0002956375,0.00046945,0.002083611,0.0002877729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008285663,0.01432824,0.09991947,0.009603282,0.0008130439,0.003368631,0.02941815,0.00493607,0.06620543,0.001086062,0.03636109,0.7256748],"study_design_scores_gemma":[0.007036845,0.077043,0.572139,0.004821347,0.003003226,0.008601881,0.01295807,0.05723327,0.07429624,0.001504228,0.1802591,0.001103805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651097,0.0007656442,0.01464113,0.0004673514,0.0001745501,0.0109404,0.00139131,0.001798869,0.004711111],"genre_scores_gemma":[0.8062519,0.001664733,0.1591826,0.0008876965,0.0001373773,0.01830564,0.00342245,0.0006253599,0.009522304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00612093,"threshold_uncertainty_score":0.03237098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588435349510925,"score_gpt":0.3239164387375585,"score_spread":0.2980320852424492,"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."}}