{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507968,0.0001733886,0.000310896,0.00001909229,0.000383674,0.00003390497,0.0001229478,0.0000512951,0.00008376895],"category_scores_gemma":[0.00005751651,0.0001066828,0.00006143108,0.00007036664,0.0002417816,0.00008129925,0.0001556732,0.000145564,0.000003092778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811114,"about_ca_system_score_gemma":0.0004337762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003285432,"about_ca_topic_score_gemma":0.0008715258,"domain_scores_codex":[0.9988825,0.00002314943,0.0002739562,0.0003344814,0.0002375527,0.0002483508],"domain_scores_gemma":[0.9987665,0.00004231981,0.000353562,0.0005878471,0.0001375976,0.0001121499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006474779,0.0001241668,0.8259724,0.0001917307,0.000100495,0.000002973589,0.001093118,0.00002958422,0.0006837011,0.00000220625,0.0004617313,0.1712732],"study_design_scores_gemma":[0.001569102,0.00007928129,0.9325057,0.0005064427,0.000099718,0.000002829909,0.00005809297,0.00006915181,0.04679725,0.00002387508,0.01816862,0.0001199119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937149,0.003386334,0.000001295929,0.0005834917,0.0002327734,0.001612252,0.0001186844,0.00002356791,0.000326669],"genre_scores_gemma":[0.9945008,0.0007511011,0.0003806839,0.0001476958,0.0001039197,0.003683105,0.000002364326,0.00002063668,0.0004097319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1711532,"threshold_uncertainty_score":0.4966612,"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."}}