{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660347,0.0002937459,0.0002034093,0.0003358072,0.0001661647,0.0002418777,0.0001279017,0.0002251684,0.001192081],"category_scores_gemma":[0.0003896441,0.0001334315,0.0002247635,0.0001780873,0.0001603241,0.0004181969,0.0001236029,0.0002815966,0.0001796938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230329,"about_ca_system_score_gemma":0.0001459163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006497499,"about_ca_topic_score_gemma":0.002009191,"domain_scores_codex":[0.9998312,0.00002406166,0.00001638605,0.00002460762,0.00007419873,0.00002946812],"domain_scores_gemma":[0.9995136,0.0001090872,0.0001269644,0.00002446149,0.0001736935,0.00005205901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002480523,0.00004467371,0.006551826,0.0002285993,0.00003794075,0.00006482715,0.00004824105,0.000189789,0.9827961,0.00003361387,0.00002573364,0.009730678],"study_design_scores_gemma":[0.000009881934,0.001751729,0.1017635,0.00001946829,0.00009867879,0.0003616691,0.0002026274,0.0006066847,0.8929617,0.00003554117,0.002169261,0.00001929184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974276,0.001173952,0.0003383634,0.00001368985,0.00000682498,0.000007305855,0.00003442556,0.000006155996,0.0009916935],"genre_scores_gemma":[0.9975074,0.0005724567,0.0008019825,0.0000318278,0.000005812815,0.000007068459,0.00007247434,0.000005217146,0.0009957181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001192081,"threshold_uncertainty_score":0.003987968,"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."}}