{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007728508,0.0004446787,0.0002084027,0.0009606667,0.001876361,0.001443695,0.0004705877,0.0007394792,0.00517736],"category_scores_gemma":[0.0004493015,0.0002860503,0.0003061479,0.002015531,0.002864119,0.001864387,0.001059289,0.0008352693,0.0004317696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00353907,"about_ca_system_score_gemma":0.004057549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008776428,"about_ca_topic_score_gemma":0.008529781,"domain_scores_codex":[0.999468,0.00007471546,0.00004120321,0.0001063254,0.0002293913,0.00008035332],"domain_scores_gemma":[0.9998907,0.00002648448,0.00001570347,0.00001657434,0.00003165926,0.00001876683],"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":[0.00006124989,0.00007729101,0.004447504,0.0006089563,0.00002841035,0.0005183365,0.005822159,0.004009308,0.005106517,0.7609869,0.01899772,0.1993356],"study_design_scores_gemma":[0.00003944531,0.000222563,0.01364149,0.0002454667,0.00003458845,0.0005269594,0.001644476,0.00680871,0.004511791,0.1832382,0.789,0.00008639788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2174399,0.07446546,0.02388372,0.02513557,0.001508181,0.0001913088,0.0001539636,0.0002477132,0.6569742],"genre_scores_gemma":[0.7346585,0.03899216,0.01414822,0.002054062,0.0006385709,0.0001089256,0.0001621305,0.00007622093,0.2091612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008776428,"threshold_uncertainty_score":0.02567786,"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."}}