{"id":"W4416987400","doi":"10.4293/jsls.2025.00077","title":"Learning Curve in Robotic Colorectal Surgery","year":2025,"lang":"en","type":"article","venue":"JSLS Journal of the Society of Laparoscopic & Robotic Surgeons","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learning curve; Credentialing; Colorectal surgery; Robotic surgery; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446813,0.0001565439,0.0009008836,0.0001400098,0.0001167588,0.00001722065,0.0001592031,0.0001436306,0.0001397015],"category_scores_gemma":[0.001204789,0.0001102692,0.001216506,0.0008118873,0.0001917962,0.00008037155,0.00006527357,0.000731959,0.000002394674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370323,"about_ca_system_score_gemma":0.0004952826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005026855,"about_ca_topic_score_gemma":0.00001301756,"domain_scores_codex":[0.9979491,0.0002481481,0.0009329833,0.0001434201,0.0004243386,0.000301997],"domain_scores_gemma":[0.9968202,0.00218737,0.0005080916,0.0001716478,0.0002091588,0.0001035292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349878,0.0002360828,0.9289573,0.0001490196,0.0003689581,0.00001359281,0.0007565014,0.06620254,0.0006630813,0.0001096309,0.001089415,0.001318878],"study_design_scores_gemma":[0.004411526,0.0001449804,0.978879,0.002697818,0.0003862183,0.00007324312,0.001765407,0.008557492,0.001430995,0.0003481154,0.001131027,0.0001742101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928309,0.0005903405,0.0004583159,0.003521417,0.001213425,0.0001719821,4.153687e-7,0.00001571847,0.00119743],"genre_scores_gemma":[0.9979632,0.0001446442,0.0004414021,0.0004146003,0.00005495347,0.000001857204,0.000001511969,0.00001267605,0.0009651596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05764505,"threshold_uncertainty_score":0.4496648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611984589342609,"score_gpt":0.2983094648887189,"score_spread":0.2721896189952928,"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."}}