{"id":"W1978193515","doi":"10.1007/s00464-005-0759-4","title":"Quantification of process measures in laparoscopic suturing","year":2006,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto; University of Manitoba; Mount Sinai Hospital","funders":"","keywords":"Process (computing); Rotation (mathematics); Adaptation (eye); Medicine; Physical medicine and rehabilitation; Simulation; Physical therapy; Medical physics; Computer science; Psychology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001926027,0.0000912217,0.0002815008,0.0001157368,0.00002294636,0.000007594515,0.00004557949,0.00007321502,0.000224646],"category_scores_gemma":[0.00007496829,0.00007522923,0.00006371815,0.0003383965,0.00005957773,0.00005152345,0.000007329197,0.0001297762,0.00001482319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000248561,"about_ca_system_score_gemma":0.00004310677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092282,"about_ca_topic_score_gemma":0.00002166119,"domain_scores_codex":[0.9989398,0.0000389966,0.0003660067,0.000188862,0.000286087,0.0001802418],"domain_scores_gemma":[0.9995285,0.0001481722,0.00007035812,0.0001263033,0.00006833088,0.00005834001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002235408,0.001040693,0.9619048,0.0003687648,0.00003343295,0.0002181404,0.0002679701,0.005420294,0.003941655,0.01799056,0.00003856194,0.006539769],"study_design_scores_gemma":[0.08688756,0.0003117661,0.6025386,0.0008605658,0.00007795312,0.0000491374,0.0003432782,0.00491288,0.2639146,0.002559345,0.03705996,0.000484307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724672,0.0002335196,0.00003479377,0.0001328766,0.00009058605,0.0001641616,0.0000016624,0.0000503204,0.02682484],"genre_scores_gemma":[0.9995459,0.00001231196,0.00009120126,0.00002016081,0.0001096187,0.00001257152,0.00002365154,0.00001051807,0.0001740446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3593661,"threshold_uncertainty_score":0.3067759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415851403442648,"score_gpt":0.3316791321703429,"score_spread":0.2975206181359165,"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."}}