{"id":"W2791044984","doi":"10.1097/gox.0000000000001443","title":"Virtual Surgical Planning: The Pearls and Pitfalls","year":2018,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Craniofacial; Orthognathic surgery; Medicine; Surgical planning; Microsurgery; Soft tissue; Craniofacial surgery; Orthodontics; Surgery; Dentistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000567127,0.0001982477,0.000477974,0.0000504035,0.0002786905,0.000156498,0.0001527213,0.0001001623,0.001106352],"category_scores_gemma":[0.001119135,0.0001299812,0.0001020984,0.0003314153,0.0008326956,0.0001917113,0.0002154502,0.0001881269,0.0001365377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006220289,"about_ca_system_score_gemma":0.0001976837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006413403,"about_ca_topic_score_gemma":0.00000880071,"domain_scores_codex":[0.9984738,0.0001405456,0.0003616619,0.0003960126,0.0002762963,0.0003516311],"domain_scores_gemma":[0.9957178,0.003524223,0.0001188693,0.0001950667,0.0001570113,0.000287091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002317233,0.00008456739,0.8720867,0.000009788626,0.0002904353,0.000336907,0.0002628487,0.00001252836,0.000006116409,0.01875913,0.001238797,0.1045949],"study_design_scores_gemma":[0.005391812,0.0005187134,0.8897429,0.0004378194,0.000193669,0.003606365,0.002037232,0.001621635,0.00006229316,0.002463564,0.09337738,0.0005466586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082878,0.00008658705,0.0001583117,0.0002442083,0.00087957,0.0003214525,0.00003127625,0.00004868626,0.08994215],"genre_scores_gemma":[0.9989096,0.000007943213,0.0001820711,0.0003250758,0.0003666687,0.00001155305,0.00001337943,0.00001177127,0.0001719166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040483,"threshold_uncertainty_score":0.9998068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887463791252173,"score_gpt":0.3290133889412126,"score_spread":0.2801387510286908,"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."}}