{"id":"W4414261691","doi":"10.20517/ais.2024.108","title":"Artificial intelligence for real-time surgical phase recognition in minimal invasive inguinal hernia repair: a systematic review on behalf of TROGSS - the robotic global surgical society","year":2025,"lang":"en","type":"review","venue":"Artificial Intelligence Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inguinal hernia; Data extraction; Hernia; Laparoscopy; Robotic surgery; Systematic review; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01416379,0.001137831,0.005387561,0.01081319,0.00061412,0.003451336,0.002009228,0.002166818,0.005756654],"category_scores_gemma":[0.05907228,0.0007097695,0.005620975,0.009772172,0.00109677,0.002497824,0.001628294,0.001190393,0.0006215386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425676,"about_ca_system_score_gemma":0.01198337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004967194,"about_ca_topic_score_gemma":0.01087933,"domain_scores_codex":[0.9877594,0.003863678,0.005076286,0.0007750889,0.002294781,0.0002306999],"domain_scores_gemma":[0.9529405,0.03417334,0.008094089,0.0008013255,0.003600864,0.0003899312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001436899,0.00001299644,0.0005867898,0.9293383,0.003837057,0.00003784211,0.0001352133,0.00009162205,0.00009944551,0.0002577984,0.002260338,0.06319892],"study_design_scores_gemma":[0.0001604909,0.0001108827,0.002894551,0.9532591,0.02293168,0.0001774162,0.0001382675,0.000134419,0.0001163217,0.0003193597,0.01972876,0.00002886715],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005225716,0.9973175,0.0002121908,0.0005133578,0.000140309,0.000419264,0.000463359,0.00001170875,0.0003996884],"genre_scores_gemma":[0.008608176,0.9881049,0.001004595,0.0005835011,0.0001505783,0.001099148,0.0003057081,0.000007877749,0.000135488],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01416379,"threshold_uncertainty_score":0.07490617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917303126599785,"score_gpt":0.4285156887841595,"score_spread":0.236785376124181,"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."}}