{"id":"W4391512389","doi":"10.1142/s0219519424400281","title":"INTRAOPERATIVE SURGICAL NAVIGATION BASED ON LASER SCANNER FOR IMAGE-GUIDED ORAL AND MAXILLOFACIAL SURGERY","year":2024,"lang":"en","type":"article","venue":"Journal of Mechanics in Medicine and Biology","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Scanner; Medicine; Image-guided surgery; Oral and maxillofacial surgery; Laser scanning; Laser surgery; Surgery; Computer vision; Laser; Artificial intelligence; Radiology; Computer science; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032575,0.0003733816,0.000352824,0.0005849726,0.0001764772,0.0003041951,0.0006083719,0.0005763678,0.001321613],"category_scores_gemma":[0.0008965801,0.000292008,0.0004365079,0.0005086285,0.0002551842,0.0007432842,0.0005235119,0.0004469218,0.0004237393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050143,"about_ca_system_score_gemma":0.0007245178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556087,"about_ca_topic_score_gemma":0.002091585,"domain_scores_codex":[0.9994138,0.0001214586,0.00002786785,0.00007964617,0.0003246706,0.00003257836],"domain_scores_gemma":[0.9996063,0.0001143289,0.00005755154,0.0000545072,0.0001453452,0.00002188743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007262477,0.0001007898,0.007008065,0.0003859876,0.0001084386,0.00066973,0.0002947977,0.0210578,0.3355591,0.00263312,0.004044207,0.6274117],"study_design_scores_gemma":[0.0001400014,0.001311048,0.01544509,0.00009259397,0.0003043954,0.007600566,0.0002583259,0.7785619,0.1743105,0.003187383,0.01850141,0.0002867086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08365468,0.001711206,0.9114037,0.000213757,0.0001166319,0.00007666477,0.0000920216,0.001432193,0.001299157],"genre_scores_gemma":[0.5480706,0.001095442,0.449129,0.000170819,0.00008014489,0.0001465788,0.0001970704,0.00007704902,0.001033197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001556087,"threshold_uncertainty_score":0.004421234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765386812043765,"score_gpt":0.3609197514742006,"score_spread":0.313265883353763,"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."}}