{"id":"W3004346872","doi":"10.5539/ass.v16n2p51","title":"Yang Yuelin and Modern Sizing Technology in China","year":2020,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Donghua University","keywords":"Enthusiasm; China; Sizing; Industrialisation; Promotion (chess); Textile; Work (physics); Engineering; Law; Political science; History; Psychology; Mechanical engineering; Art; Visual arts","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005019184,0.00007192669,0.0001270983,0.0000776153,0.0003680357,0.0001430984,0.0003009806,0.00005414229,0.0001330596],"category_scores_gemma":[0.0002021167,0.00006899741,0.00001178265,0.0007224745,0.0005526236,0.0002928724,0.0001904892,0.00006761163,0.00006892545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003931736,"about_ca_system_score_gemma":0.00009767216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003668776,"about_ca_topic_score_gemma":0.0000158185,"domain_scores_codex":[0.9989632,0.00003098458,0.0001565628,0.0003201241,0.0002331375,0.000295941],"domain_scores_gemma":[0.9997625,0.000007940189,0.0000520308,0.00007541698,0.00002771445,0.00007435941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000003335339,0.000008113203,0.000350501,0.000005328775,2.575047e-7,0.000002656686,0.005509569,0.000002834553,0.9417753,0.009374509,0.00002043354,0.04294713],"study_design_scores_gemma":[0.001366263,0.00021891,0.517489,0.00006837301,0.00002207266,0.00001882727,0.008944978,0.005890077,0.3092182,0.1540636,0.001712176,0.0009876107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714295,0.00004841166,0.0003813657,0.01460355,0.000135894,0.0001158206,0.000006801916,0.00008958283,0.01318909],"genre_scores_gemma":[0.9987009,0.000003614203,0.0009319026,0.0002416077,0.00009782494,0.000009901706,4.036037e-7,0.000005204317,0.000008596304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6325572,"threshold_uncertainty_score":0.283067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137833502043074,"score_gpt":0.2887355827828672,"score_spread":0.2673572477624364,"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."}}