{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301932,0.0001030634,0.0003195052,0.0003562867,0.00003870466,0.00002561156,0.0000462099,0.00009421237,0.00005121064],"category_scores_gemma":[0.0002036999,0.00006600874,0.00007741898,0.0001798669,0.00008494349,0.0001091751,0.00001234416,0.0002527775,9.455898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000219199,"about_ca_system_score_gemma":0.00003653509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001835687,"about_ca_topic_score_gemma":0.000005308151,"domain_scores_codex":[0.9991437,0.00008602359,0.0003895629,0.0001477303,0.00009561064,0.0001373842],"domain_scores_gemma":[0.9994254,0.0003014558,0.00008664175,0.00004339519,0.00007929345,0.00006379685],"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":[0.006921991,0.0007488574,0.05242413,0.001708111,0.0008932703,0.02109444,0.00222852,0.00007747248,0.1383827,0.07141234,0.06101217,0.643096],"study_design_scores_gemma":[0.03982977,0.01710739,0.01387772,0.01173808,0.001487857,0.05245224,0.00691646,0.29457,0.05115617,0.1930926,0.3151259,0.002645831],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894429,0.001539432,0.00438742,0.002334821,0.002034162,0.0001136876,0.00002213816,0.000009249942,0.000116158],"genre_scores_gemma":[0.9985232,0.0003482101,0.0004508548,0.0003801748,0.0002437406,0.000003231845,0.00002119501,0.000008626431,0.00002081269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6404501,"threshold_uncertainty_score":0.2691758,"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."}}