{"id":"W2946038147","doi":"10.1002/lary.28082","title":"Intraoperative cone‐beam CT‐guided osteotomy navigation in mandible and maxilla surgery","year":2019,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Princess Margaret Cancer Foundation","keywords":"Medicine; Cadaveric spasm; Cone beam computed tomography; Cone beam ct; Cadaver; Osteotomy; Maxilla; Mandible (arthropod mouthpart); Navigation system; Image-guided surgery; Radiology; Surgery; Nuclear medicine; Orthodontics; Computed tomography; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001137411,0.0002661615,0.0001702786,0.0004830737,0.0001283373,0.0003314521,0.000375645,0.000366939,0.0008155004],"category_scores_gemma":[0.001685986,0.0002983419,0.0001365773,0.0002210388,0.0004447529,0.0002666682,0.0002069948,0.0002540069,0.0002148859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507606,"about_ca_system_score_gemma":0.0005371418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575065,"about_ca_topic_score_gemma":0.004052942,"domain_scores_codex":[0.9993913,0.00009544718,0.0000368134,0.00007273055,0.0003841206,0.00001954806],"domain_scores_gemma":[0.9992511,0.0002546459,0.000172857,0.00005873923,0.0002300877,0.00003255091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001144509,0.000191252,0.07513216,0.0004999645,0.0000771878,0.0008041968,0.0003358879,0.004561157,0.738143,0.0003386848,0.0006333062,0.1781387],"study_design_scores_gemma":[0.0001645927,0.006196462,0.4515831,0.0003724612,0.0003324728,0.02772831,0.0004756983,0.04756872,0.4537443,0.0004618827,0.01122149,0.0001504808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541789,0.007096612,0.03664422,0.00008439169,0.00004963261,0.00006361573,0.0000771947,0.000129041,0.001676352],"genre_scores_gemma":[0.9628355,0.001870145,0.03468987,0.00004389199,0.0000237692,0.00003058109,0.00006961449,0.00002011034,0.0004165075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575065,"threshold_uncertainty_score":0.006015241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346902209896721,"score_gpt":0.2601266804453997,"score_spread":0.2466576583464324,"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."}}