{"id":"W2774199040","doi":"10.5489/cuaj.4333","title":"Urology residents on call: Investigating the workload and relevance of calls","year":2017,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Workload; Relevance (law); Medicine; Psychology; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006104315,0.00007749037,0.0001978448,0.00005023892,0.0006419843,0.00006036021,0.0001557913,0.0001538705,0.00006974579],"category_scores_gemma":[0.01208405,0.00004532525,0.00005822847,0.00003806949,0.0001403859,0.00005185835,0.00002635211,0.0005500937,0.00001041397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557326,"about_ca_system_score_gemma":0.000233306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118667,"about_ca_topic_score_gemma":0.0007911083,"domain_scores_codex":[0.9990817,0.00009665146,0.0002377533,0.0001113,0.0002135427,0.000259009],"domain_scores_gemma":[0.9984192,0.0003872869,0.0003759714,0.0001671058,0.0001214843,0.0005289458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001743637,0.000009637085,0.9895303,0.000002257536,0.00003099204,0.00004845687,0.00009764695,0.000005958423,0.00007190788,0.0003348435,0.003560418,0.006290101],"study_design_scores_gemma":[0.0004068502,0.0002369657,0.9878824,0.00003010368,0.00002911883,0.00005988457,0.00002756374,0.00004755647,0.00002105856,0.001806795,0.009405495,0.00004620305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787078,0.0002219217,0.000002824823,0.1185995,0.0001551166,0.00007843854,0.00000459052,0.00000454346,0.002225294],"genre_scores_gemma":[0.9913206,0.0001462089,0.0001085129,0.007303588,0.0001730448,0.000001553384,6.769836e-7,0.000005233395,0.0009406529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126128,"threshold_uncertainty_score":0.9962376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080423034175588,"score_gpt":0.2745743465105442,"score_spread":0.2537701161687884,"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."}}