{"id":"W7124836711","doi":"10.59275/j.melba.2025-f593","title":"SurgiSR4K: A High‑Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures","year":2025,"lang":"en","type":"article","venue":"The Journal of Machine Learning for Biomedical Imaging","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; CLARITY; Invasive surgery; Visualization; Monocular; Minimally invasive procedures","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":[0.0006779811,0.002200149,0.0009696434,0.002231276,0.0005547268,0.001286282,0.002095597,0.002008818,0.00797426],"category_scores_gemma":[0.0028656,0.0005258908,0.001628331,0.001824825,0.0005467742,0.000891339,0.001866507,0.001479939,0.00995434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008557074,"about_ca_system_score_gemma":0.001523347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116021,"about_ca_topic_score_gemma":0.02523335,"domain_scores_codex":[0.9989356,0.0001243214,0.0001129012,0.0003003781,0.000372033,0.0001547134],"domain_scores_gemma":[0.9991693,0.0001566209,0.0001115513,0.0002281957,0.0002366727,0.00009759917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001732583,0.0007332003,0.01698683,0.00470286,0.0006531448,0.001622827,0.0003439685,0.02150921,0.03391132,0.002284605,0.7297523,0.1857671],"study_design_scores_gemma":[0.0006786996,0.0009289245,0.09972185,0.001642725,0.0004432281,0.008183936,0.0009731123,0.09700843,0.05212574,0.007941391,0.729705,0.0006470924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06335927,0.004726626,0.03784665,0.0008568392,0.0007762865,0.0007916933,0.8594017,0.02063746,0.01160347],"genre_scores_gemma":[0.04502505,0.0008983043,0.02708449,0.0002283173,0.00007340134,0.0004877414,0.9226985,0.0008896666,0.002614559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01116021,"threshold_uncertainty_score":0.0266766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089766755471499,"score_gpt":0.3272262943528538,"score_spread":0.3063286267981388,"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."}}