{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007590957,0.0001911167,0.0002805962,0.0004408651,0.0002024865,0.0004301906,0.0001677241,0.0002022706,0.0005670608],"category_scores_gemma":[0.002316751,0.00007235377,0.0003423458,0.0004625536,0.0001848471,0.0003700779,0.0004887441,0.0003381361,0.0001143792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166898,"about_ca_system_score_gemma":0.000391854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008038262,"about_ca_topic_score_gemma":0.001389873,"domain_scores_codex":[0.9994774,0.0001486175,0.00008059952,0.00007929925,0.00009791067,0.0001162133],"domain_scores_gemma":[0.9984786,0.0001616233,0.0008911043,0.00006873628,0.0001092583,0.000290629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001269656,0.0002135662,0.9797153,0.00004052139,0.00009785927,0.0001875907,0.00004762108,0.0002503064,0.0007014019,0.0000606816,0.0001699279,0.01724538],"study_design_scores_gemma":[0.00001329292,0.0005891901,0.9982246,0.00001075678,0.00002236066,0.0001639299,0.00004758827,0.0005025679,0.0001447572,0.0000621361,0.0002140191,0.000004796647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990338,0.0003331437,0.0001703124,0.00006809693,0.00001233679,0.000009120396,0.00008639206,0.000003381253,0.0002834919],"genre_scores_gemma":[0.9994774,0.0001144689,0.00009878894,0.0000210165,0.00001353227,0.000007979596,0.00015242,9.062608e-7,0.0001134238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008038262,"threshold_uncertainty_score":0.004014552,"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."}}