{"id":"W2120374623","doi":"10.1002/mrm.22664","title":"Functional MRI‐compatible laparoscopic surgery training simulator","year":2010,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital; St. Michael's Hospital","funders":"","keywords":"Laparoscopy; Computer science; Eye–hand coordination; Task (project management); Laparoscopic surgery; Physical medicine and rehabilitation; Simulation; Medicine; Artificial intelligence; Radiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007531874,0.0001975197,0.0006280497,0.0002813933,0.00006824269,0.00001059443,0.00007469541,0.0001396721,0.009449973],"category_scores_gemma":[0.00108907,0.0001565991,0.00007734454,0.0005971094,0.000269366,0.00006212729,0.00001989235,0.0006072724,0.00007764549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002814902,"about_ca_system_score_gemma":0.0001358812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006118527,"about_ca_topic_score_gemma":0.00007196086,"domain_scores_codex":[0.9980358,0.00004616223,0.0005828691,0.0003738592,0.0005524881,0.0004088313],"domain_scores_gemma":[0.9981805,0.001102916,0.00007581346,0.000305808,0.0000879775,0.0002469584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004691475,0.000188179,0.6127252,0.00008416391,0.00001055563,0.0002678979,0.001057255,0.0002736161,0.001965167,0.001122793,0.00378467,0.3780513],"study_design_scores_gemma":[0.005922916,0.0001967294,0.7711291,0.0003481994,0.00002315523,0.00004594848,0.0002307364,0.009958201,0.00008452494,0.0003381406,0.2115656,0.0001567622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779062,0.001923356,0.00006981094,0.003503741,0.001123355,0.0002779095,0.000001622054,0.00009885681,0.01509521],"genre_scores_gemma":[0.9950132,0.00007218066,0.0004688117,0.001750208,0.0008185363,0.00002912169,0.0000302933,0.00002625142,0.001791336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778946,"threshold_uncertainty_score":0.9914555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05812844068592798,"score_gpt":0.3094339178829045,"score_spread":0.2513054771969765,"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."}}