{"id":"W4380987571","doi":"10.3390/jcdd10060263","title":"Postoperative Weight Gain within Enhanced Recovery after Cardiac Surgery","year":2023,"lang":"en","type":"article","venue":"Journal of Cardiovascular Development and Disease","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Universität Leipzig","keywords":"Medicine; Perioperative; Cardiac surgery; Propensity score matching; Acute kidney injury; Weight gain; Incidence (geometry); Anesthesia; Internal medicine; Surgery; Cardiology; Body weight","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":[],"consensus_categories":[],"category_scores_codex":[0.001835101,0.000216237,0.001317469,0.0003277345,0.00008062983,0.00004650043,0.00004707798,0.00007314236,0.00003355983],"category_scores_gemma":[0.0004850493,0.0001559299,0.002380043,0.0003230845,0.00005506216,0.0001748596,0.00003780893,0.0001656311,0.00003982889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007627194,"about_ca_system_score_gemma":0.0008212209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001238478,"about_ca_topic_score_gemma":1.668027e-7,"domain_scores_codex":[0.9978535,0.0002207511,0.000573604,0.000220291,0.0008677755,0.0002641026],"domain_scores_gemma":[0.9984286,0.0002583736,0.0001119607,0.0002262789,0.0002338521,0.0007409245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02773316,0.0006251687,0.3793788,0.001752815,0.06183393,0.07526127,0.008311871,0.0008502142,0.0009104643,0.0006847588,0.03687672,0.4057808],"study_design_scores_gemma":[0.002149902,0.0001125601,0.5842322,0.0006202533,0.002944251,0.0003137687,0.0005490188,0.00001562477,0.002920286,0.0001052442,0.4053949,0.0006419973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753063,0.02111286,0.0002705613,0.001055985,0.0007102042,0.0002517578,0.000006855043,0.00003748663,0.001247978],"genre_scores_gemma":[0.9908453,0.005252217,0.0007325477,0.0006623144,0.0004538831,0.00003375564,0.0000346268,0.00003755949,0.001947798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4051388,"threshold_uncertainty_score":0.6358637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154345787551,"score_gpt":0.2235504883323192,"score_spread":0.2120070304568092,"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."}}