{"id":"W4205966465","doi":"10.5850/jksct.2021.45.6.1035","title":"국내산과 태국산 닥섬유 및 목재펄프가 혼합된 줌치한지의 감물염색에 따른 강도 특성","year":2021,"lang":"ko","type":"article","venue":"Journal of the Korean Society of Clothing and Textiles","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science, ICT and Future Planning","keywords":"Ultimate tensile strength; Tearing; Dyeing; Materials science; Bursting; Composite material; Pulp (tooth); Raw material; Pulp and paper industry; Chemistry; Dentistry; Medicine; Biology; Organic chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.001367838,0.0004490827,0.0009488994,0.0000745141,0.0004170551,0.0002319325,0.0006484682,0.0003846652,0.00007651455],"category_scores_gemma":[0.0003214715,0.0003554003,0.001466825,0.0003434397,0.0004535599,0.0002982499,0.0002803111,0.001388896,0.000006919872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506371,"about_ca_system_score_gemma":0.0002942072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006065746,"about_ca_topic_score_gemma":0.000008262413,"domain_scores_codex":[0.9971294,0.0002095413,0.001013787,0.0003049087,0.0007954711,0.0005469109],"domain_scores_gemma":[0.9973863,0.0005253034,0.0008580052,0.0005908515,0.0003768205,0.0002627558],"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":[0.0002597853,0.001236803,0.0122896,0.008822285,0.01077753,0.0003026653,0.1780474,0.07237568,0.08642665,0.006312475,0.4472802,0.1758689],"study_design_scores_gemma":[0.01819815,0.001753045,0.06093549,0.04263446,0.007965812,0.007018083,0.08602022,0.118569,0.1282604,0.0213774,0.5011056,0.006162321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650974,0.01858356,0.0020592,0.005994248,0.003988949,0.0001678479,0.00008115572,0.0001160847,0.003911539],"genre_scores_gemma":[0.980512,0.006676527,0.007545326,0.0005081452,0.001017183,0.000001102204,0.000003719485,0.0001094801,0.0036265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1697066,"threshold_uncertainty_score":0.9998898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224995984513051,"score_gpt":0.2222851036211176,"score_spread":0.2100351437759871,"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."}}