{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03520773,0.0009586735,0.0009515592,0.006047795,0.001454946,0.005192902,0.002918479,0.001764596,0.002438069],"category_scores_gemma":[0.08720901,0.0006226143,0.0007532143,0.003984171,0.01040748,0.007040499,0.003926658,0.006193674,0.0009970636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679347,"about_ca_system_score_gemma":0.002912523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041205,"about_ca_topic_score_gemma":0.005179185,"domain_scores_codex":[0.9637976,0.01688476,0.003128977,0.001295078,0.01455,0.0003435498],"domain_scores_gemma":[0.850223,0.1232294,0.007682959,0.004983201,0.01173486,0.002146633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003454011,0.000127207,0.04870217,0.002578326,0.0002263058,0.003283388,0.003635271,0.005913362,0.0006640546,0.03013808,0.03604085,0.8683456],"study_design_scores_gemma":[0.0001530724,0.001287647,0.08769456,0.02444931,0.000347622,0.1020054,0.03561283,0.04005382,0.00244401,0.3645472,0.3405121,0.0008924202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09503363,0.3831735,0.2609679,0.2198645,0.008490889,0.0005600629,0.0009925517,0.0009050161,0.03001195],"genre_scores_gemma":[0.5465745,0.1696386,0.2423797,0.02442694,0.01114888,0.0005216248,0.000405182,0.0005364973,0.004368073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03520773,"threshold_uncertainty_score":0.1861985,"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."}}