{"id":"W1595341331","doi":"","title":"디지털 인체모델링 도구를 이용한 한국인 휠체어 사용자 기본치수 설정에 관한 연구","year":2006,"lang":"ko","type":"article","venue":"대한건축학회 논문집 - 계획계","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthropometry; Wheelchair; Dimension (graph theory); Computer science; Measure (data warehouse); Geography; Mathematics; Data mining; World Wide Web","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005077503,0.0008653966,0.000894771,0.0002851866,0.0004002234,0.0002191535,0.0009173752,0.0008924417,0.007119549],"category_scores_gemma":[0.00005800085,0.0009372064,0.0007916298,0.0005465955,0.0004343271,0.0002153195,0.0002702776,0.0009008646,0.00995406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833638,"about_ca_system_score_gemma":0.0001699384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005061692,"about_ca_topic_score_gemma":0.002073311,"domain_scores_codex":[0.9950435,0.0003220603,0.00112491,0.001448098,0.0003981201,0.001663325],"domain_scores_gemma":[0.9972444,0.0002027073,0.0004221492,0.001640617,0.00012653,0.000363557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008364802,0.005552316,0.127718,0.0007786675,0.001518685,0.0004238302,0.003513718,0.0006288352,0.00804155,0.2317063,0.5514483,0.06783334],"study_design_scores_gemma":[0.003981308,0.0005637147,0.3954387,0.0001050566,0.0002699139,0.00003580101,0.0008636702,0.0002927325,0.0001624279,0.009121799,0.5876072,0.001557697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7695352,0.003527776,0.0001109921,0.00453578,0.004837311,0.0007592714,0.0002327061,0.0002184077,0.2162425],"genre_scores_gemma":[0.9509271,0.0005888276,0.0002675841,0.001607185,0.001484427,0.00009487647,0.0003130498,0.0002132388,0.0445037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2677207,"threshold_uncertainty_score":0.9993079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008598613959718655,"score_gpt":0.2706593837585294,"score_spread":0.2620607697988107,"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."}}