{"id":"W4401276774","doi":"10.1177/22925503241268888","title":"ERASing Confounders: Measuring Differences in Post Operative Pathways","year":2024,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Confounding; Medicine; Environmental science; Internal medicine","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":[0.0004311758,0.0001686857,0.0006904174,0.0002880089,0.000045145,0.0001075373,0.00003297225,0.0000761521,0.0002096619],"category_scores_gemma":[0.003738667,0.0001246074,0.0002826328,0.0002706747,0.00006966771,0.0001124244,0.00001634782,0.0002139171,0.0001055624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009036544,"about_ca_system_score_gemma":0.0002755384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000646456,"about_ca_topic_score_gemma":0.00001889556,"domain_scores_codex":[0.9987202,0.00009568182,0.0003069772,0.0002748587,0.0003132533,0.0002890365],"domain_scores_gemma":[0.9732224,0.02647835,0.0000196835,0.0001081239,0.00004661705,0.0001248059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000358929,0.0001547315,0.9604978,0.0004801035,0.0003853573,0.008722092,0.002515254,0.00001699706,0.003125311,0.005858506,0.0002755037,0.01760943],"study_design_scores_gemma":[0.0003994362,0.00005961887,0.9886379,0.001751596,0.0001246483,0.0004455483,0.00136572,0.001596941,0.0004449064,0.00003816744,0.004795692,0.0003397865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991977,0.001241034,0.0002025509,0.0004983541,0.002014436,0.00009520327,0.000004431039,0.000122159,0.003844884],"genre_scores_gemma":[0.999348,0.00008820451,0.00002925409,0.0001266163,0.0002046057,0.00001464727,0.00001308437,0.00001979394,0.0001558142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02814015,"threshold_uncertainty_score":0.5081341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07195557391575151,"score_gpt":0.2724803532664211,"score_spread":0.2005247793506695,"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."}}