{"id":"W2253909671","doi":"","title":"악교정수술에서 광전자 포인트 마커를 이용한 상악골 위치 변화의 계측 및 계산 방법 연구","year":2011,"lang":"ko","type":"article","venue":"Seoul National University Open Repository (Seoul National University)","topic":"Marine and Coastal Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affine transformation; Transformation (genetics); Coordinate system; Affine coordinate system; Tracking (education); Orthognathic surgery; Transformation matrix; Mathematics; Computer science; Computer vision; Algorithm; Artificial intelligence; Surgery; Medicine; Kinematics; Affine space; Geometry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006922854,0.0006724002,0.0003879067,0.0005892293,0.0003373324,0.000572709,0.0006985472,0.0004370094,0.002235387],"category_scores_gemma":[0.0020513,0.0003175748,0.000501569,0.0005093839,0.0006149574,0.0006162244,0.0004085799,0.0002949071,0.0009828985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592519,"about_ca_system_score_gemma":0.001451331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110222,"about_ca_topic_score_gemma":0.002806469,"domain_scores_codex":[0.9990411,0.0001407931,0.00008836859,0.000146165,0.0005452449,0.00003832073],"domain_scores_gemma":[0.9991972,0.000166339,0.0001342895,0.0001277968,0.00034301,0.00003135991],"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":[0.0003535972,0.0001194712,0.02560912,0.000782763,0.00008910576,0.0004369394,0.0003374806,0.01125318,0.2884533,0.002202137,0.001445731,0.6689172],"study_design_scores_gemma":[0.000242154,0.003587398,0.1505632,0.0003209562,0.0005962214,0.01152918,0.0004597958,0.2266113,0.5470973,0.004015299,0.05464923,0.0003279942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1540133,0.001198369,0.8396145,0.0001857866,0.0001458065,0.0003012136,0.0001076305,0.00117837,0.003255001],"genre_scores_gemma":[0.5456553,0.0008111879,0.4505859,0.00009313855,0.00006520306,0.0002083077,0.0001872212,0.00008659034,0.002307266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003110222,"threshold_uncertainty_score":0.007478118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298783319782201,"score_gpt":0.2305944606115142,"score_spread":0.1876066274136922,"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."}}