{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009307036,0.0007482758,0.0006716445,0.002197358,0.001832715,0.0003757323,0.00336131,0.0006901546,0.002725337],"category_scores_gemma":[0.0002176798,0.00103947,0.000495729,0.00261191,0.000477533,0.003103859,0.002645961,0.0012983,0.0007664597],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003837932,"about_ca_system_score_gemma":0.003137738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358725,"about_ca_topic_score_gemma":0.0005527263,"domain_scores_codex":[0.9936539,0.0005342476,0.0005744185,0.001335372,0.002895324,0.001006715],"domain_scores_gemma":[0.9942217,0.0005515687,0.0003762336,0.0005844968,0.003492693,0.0007733198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002920981,0.002016558,0.01824026,0.0004358732,0.002970739,0.005220187,0.001800196,0.007119388,0.00179905,0.9194891,0.03534288,0.002644814],"study_design_scores_gemma":[0.009227674,0.0007579497,0.07233243,0.0004042678,0.0006308163,0.0004110629,0.006089655,0.01395652,0.003200571,0.006347468,0.8831261,0.003515474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04681278,0.00008536084,0.001019601,0.0005604964,0.0008952985,0.001094618,0.00059434,0.0002703116,0.9486672],"genre_scores_gemma":[0.7316078,0.0002253945,0.001726655,0.0001460732,0.0004114056,0.000001377977,0.0003822848,0.00007856877,0.2654205],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9131416,"threshold_uncertainty_score":0.9999862,"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."}}