{"id":"W3196420721","doi":"10.1177/15533506211041910","title":"Preliminary Validation of a Stimulator for Markings in Surgery","year":2021,"lang":"en","type":"letter","venue":"Surgical Innovation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Surgery","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":[0.0008161815,0.0002112204,0.0007625187,0.0007680858,0.00002619347,0.00001812515,0.0000468161,0.0007553095,0.0004653815],"category_scores_gemma":[0.0009406453,0.0002017553,0.0002235382,0.001644888,0.00004933254,0.00008061661,0.00002543706,0.0006810367,0.000003737872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009533014,"about_ca_system_score_gemma":0.000224162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009088641,"about_ca_topic_score_gemma":2.121711e-7,"domain_scores_codex":[0.9977083,0.00009404799,0.001106769,0.0003829505,0.0004466398,0.0002612687],"domain_scores_gemma":[0.9964103,0.002224141,0.0004117288,0.0002212982,0.0007056814,0.00002687247],"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":[0.009605071,0.001493689,0.08551387,0.01082195,0.0007848499,0.005753502,0.0005066016,0.0009297619,0.0007497094,0.004754048,0.7121633,0.1669236],"study_design_scores_gemma":[0.004310938,0.0001682176,0.007758406,0.00124993,0.00009526804,0.00004969842,0.00002080152,0.001521572,0.001836386,0.0005759808,0.9820868,0.0003260518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780753,0.0002231855,0.0006925532,0.2114593,0.0008885349,0.001622093,0.00007127296,0.0001166506,0.004173445],"genre_scores_gemma":[0.9090853,0.00001633234,0.0005679057,0.07583131,0.00186104,0.0001263755,0.01124554,0.0000727261,0.001193428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699234,"threshold_uncertainty_score":0.8227344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09018352919340357,"score_gpt":0.3361103871464639,"score_spread":0.2459268579530604,"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."}}