{"id":"W3194699505","doi":"10.5489/cuaj.7493","title":"The importance of optimizing rates of successful stone treatment","year":2021,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Intensive care medicine; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004297585,0.00005680157,0.0001272148,0.00003281402,0.0003132142,0.00005856025,0.00009944069,0.00007192786,0.001350381],"category_scores_gemma":[0.0004359412,0.00003274662,0.00006141562,0.0002189869,0.00003510746,0.0001426446,0.000002614051,0.0001073543,0.00001161747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003763639,"about_ca_system_score_gemma":0.0003088386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214221,"about_ca_topic_score_gemma":0.02026401,"domain_scores_codex":[0.9991412,0.000124081,0.0003128187,0.00006758529,0.0001609043,0.0001934705],"domain_scores_gemma":[0.9988505,0.000310341,0.0003277462,0.00005742165,0.0003148292,0.0001392079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007899355,0.000007242887,0.9882483,0.000001417635,0.00002357465,0.000005615456,0.00007231045,0.004058782,0.000008560939,0.0002712139,0.0001743999,0.007120682],"study_design_scores_gemma":[0.0002063695,0.0002333849,0.9782874,0.000003515182,0.0000173103,0.00002996177,0.0004715901,0.001963112,0.0003076064,0.004974197,0.01344287,0.00006266993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866838,0.001729255,0.0001091013,0.008052606,0.0001713027,0.00004914995,0.00005264248,0.00000389561,0.003148273],"genre_scores_gemma":[0.9984404,0.00072978,0.0003832592,0.0002258625,0.00004937451,5.638942e-7,0.00004368254,7.221336e-7,0.0001263667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01904979,"threshold_uncertainty_score":0.9995625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819193209149122,"score_gpt":0.2210894773858778,"score_spread":0.2028975452943866,"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."}}