{"id":"W1971715723","doi":"10.1016/j.juro.2009.02.066","title":"Publications by the American Academy of Pediatrics Section on Urology: The Quality of Research Design and Statistical Methodology","year":2009,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Section (typography); Pediatric urology; Pediatrics; Urology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3909814,0.0001036155,0.001535335,0.0003636265,0.0002047074,0.00004373736,0.001733833,0.00008702098,0.0002522467],"category_scores_gemma":[0.09605812,0.00003220974,0.0002616369,0.001446673,0.0011544,0.00005751323,0.00007396869,0.0008795196,0.00001322249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128075,"about_ca_system_score_gemma":0.00008177182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001876871,"about_ca_topic_score_gemma":0.000003565211,"domain_scores_codex":[0.8449379,0.1472646,0.004897461,0.0002382642,0.002429074,0.0002327437],"domain_scores_gemma":[0.8433903,0.1471504,0.007245666,0.0009388722,0.001199704,0.0000750844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002349089,0.0005150898,0.0167082,0.00003183954,0.0006429369,0.000001742377,0.004472765,0.003301763,0.008215416,0.2242797,0.6392313,0.1002502],"study_design_scores_gemma":[0.0004975804,0.005047103,0.5033249,0.000002367257,0.001116904,0.0004413449,0.002158062,0.003277313,0.0001554146,0.4399794,0.04387214,0.0001274036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3663084,0.002077598,0.5026339,0.1280277,0.000100864,0.0004393321,0.0000127439,0.000001286277,0.0003982419],"genre_scores_gemma":[0.9938855,0.0004677318,0.003691602,0.001683528,0.0001126274,0.000003044516,2.723067e-7,0.000003243504,0.0001524738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6275771,"threshold_uncertainty_score":0.9115562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.914132387819782,"score_gpt":0.6758417498767043,"score_spread":0.2382906379430777,"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."}}