{"id":"W4401502471","doi":"10.1016/j.soi.2024.100090","title":"Laparoscopic versus robotic pancreaticoduodenectomy: A NSQIP analysis comparing trends in patient selection and outcomes over 5-years","year":2024,"lang":"en","type":"article","venue":"Surgical Oncology Insight","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"American College of Surgeons","keywords":"Pancreaticoduodenectomy; Medicine; Selection (genetic algorithm); General surgery; Surgery; Artificial intelligence; Computer science; Resection","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":[0.002397163,0.0001812067,0.0003536041,0.0008787447,0.0002394639,0.000593767,0.000418921,0.0003118787,0.001520183],"category_scores_gemma":[0.005749666,0.0001725525,0.0008551658,0.001259082,0.0002728946,0.0007300413,0.0008291912,0.0004967471,0.000132494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006965389,"about_ca_system_score_gemma":0.0006002277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004058113,"about_ca_topic_score_gemma":0.004923258,"domain_scores_codex":[0.998563,0.0004031399,0.0002119796,0.0002856259,0.0002923466,0.0002438937],"domain_scores_gemma":[0.9950156,0.0009176163,0.003005205,0.0001574749,0.0003159132,0.0005882421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000278078,0.00002427201,0.9977175,0.00001529699,0.0001325787,0.00002046282,0.00004340105,0.0000796289,0.00005131412,0.00001978823,0.0001532117,0.001464572],"study_design_scores_gemma":[0.00001609328,0.0002110903,0.9988838,0.000008730844,0.00003419373,0.00006809515,0.0001803742,0.0003921438,0.00002551389,0.00001920461,0.00015743,0.000003248656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987099,0.0002708945,0.00008270763,0.00007582141,0.000006427559,0.000009093507,0.0006368395,0.000002214752,0.000206111],"genre_scores_gemma":[0.9989752,0.00008981883,0.00004466942,0.00003375602,0.000009836172,0.00001104223,0.0007828603,0.000001385969,0.00005143896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004058113,"threshold_uncertainty_score":0.01267755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299098808235757,"score_gpt":0.3825380258995407,"score_spread":0.3395470378171832,"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."}}