{"id":"W2057672608","doi":"10.1002/cncr.23908","title":"An updated catalog of prostate cancer predictive tools","year":2008,"lang":"en","type":"review","venue":"Cancer","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Nomogram; Generalizability theory; Predictive modelling; Prostate cancer; Clinical trial; MEDLINE; Disease; Medical physics; Intensive care medicine; Machine learning; Cancer; Computer science; Oncology; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008244759,0.0005015146,0.002077027,0.0002630181,0.00008415298,0.00001941686,0.0002622747,0.0003560911,0.0008557679],"category_scores_gemma":[0.00001751651,0.0003355715,0.0003940929,0.0006377912,0.0003527607,0.0001882884,0.00006596201,0.00056757,0.00003216478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009802795,"about_ca_system_score_gemma":0.004558448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070647,"about_ca_topic_score_gemma":0.0000596377,"domain_scores_codex":[0.9976131,0.0001043772,0.0006025447,0.0006580072,0.0004853987,0.0005366036],"domain_scores_gemma":[0.9981806,0.00004417083,0.0003679452,0.0006676354,0.0004096351,0.0003300363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003157458,0.0001957296,0.0005889711,0.009448064,0.001239781,0.0001914435,0.0004008446,0.000003643497,0.00001249899,0.000005533549,0.01791937,0.9696784],"study_design_scores_gemma":[0.001256578,0.0004778226,0.0002186892,0.01212704,0.001350061,0.00006232211,0.00002673281,0.000007481581,0.0002062932,0.000004310711,0.9839557,0.0003070082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002897074,0.9906236,0.000001951622,0.00007222269,0.0003789315,0.002845142,0.004791394,0.00007852667,0.00091853],"genre_scores_gemma":[0.000110842,0.9868409,0.00003016983,0.00005254666,0.000498235,0.002131904,0.0048092,0.0001162328,0.005409994],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9693714,"threshold_uncertainty_score":0.9999096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08558351400700404,"score_gpt":0.4252806458500926,"score_spread":0.3396971318430886,"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."}}