{"id":"W4292935735","doi":"10.1016/j.jopan.2013.03.008","title":"Congratulations New CPANs and CAPAs!","year":2013,"lang":"en","type":"article","venue":"Journal of PeriAnesthesia Nursing","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003027487,0.0001262788,0.0006662438,0.0003072571,0.0001481129,0.000189783,0.0001464998,0.0001001898,0.0006994822],"category_scores_gemma":[0.000817486,0.0001428407,0.0001004176,0.0001161158,0.00008103507,0.0008970709,0.000005805708,0.000160525,0.0003709236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636161,"about_ca_system_score_gemma":0.0001756541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002892044,"about_ca_topic_score_gemma":0.000009240607,"domain_scores_codex":[0.9968624,0.0001282716,0.002521526,0.0001734394,0.00007688872,0.0002374742],"domain_scores_gemma":[0.997127,0.0002939633,0.001988661,0.0001842416,0.0001031422,0.0003030178],"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":[0.00005549152,0.0004759621,0.202914,0.0002876788,0.0002711352,0.00002410619,0.03856354,0.0006555176,0.0004429655,0.3395759,0.4042781,0.01245566],"study_design_scores_gemma":[0.002721274,0.0005290817,0.6490862,0.0009734924,0.00005970282,0.001813604,0.009897431,0.005469162,0.00004216826,0.1728477,0.1557167,0.0008434047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706793,0.004086961,0.004117201,0.1179602,0.0005975637,0.0003013321,0.000005281642,0.00001664414,0.002235505],"genre_scores_gemma":[0.980749,0.00009434346,0.01390921,0.003484916,0.0009313248,0.000005367948,0.000002085306,0.00003064817,0.0007931706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4461722,"threshold_uncertainty_score":0.7658839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2574104824427238,"score_gpt":0.4109832882303447,"score_spread":0.1535728057876209,"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."}}