{"id":"W1969230571","doi":"10.5539/mas.v4n3p71","title":"Comparison of Two Different Yarn Evenness Test Methods","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species evenness; Yarn; Textile; Computer science; Mathematics; Composite material; Materials science; Geology","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":[0.004412945,0.000864168,0.0006547591,0.00445124,0.000328079,0.0009191516,0.001158704,0.0009577269,0.001809965],"category_scores_gemma":[0.01244024,0.0003734722,0.0005458905,0.002022675,0.0005336133,0.001303948,0.0008999256,0.0005656424,0.0006135202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337026,"about_ca_system_score_gemma":0.0003891013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007069019,"about_ca_topic_score_gemma":0.00133956,"domain_scores_codex":[0.9917503,0.001548536,0.0004204694,0.0006026344,0.00546835,0.0002098418],"domain_scores_gemma":[0.9835422,0.007498105,0.001363543,0.001110672,0.006148425,0.000336916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00490879,0.0004500145,0.03889605,0.001655574,0.000405171,0.0003498452,0.0008752088,0.00630223,0.4294642,0.002515307,0.001460335,0.5127172],"study_design_scores_gemma":[0.0002752095,0.006319586,0.1162158,0.0002262187,0.0007111019,0.00344452,0.001013965,0.08391391,0.7732201,0.00206198,0.01220615,0.0003913725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704847,0.009908088,0.2684645,0.000285603,0.0006856184,0.0003557289,0.0006969505,0.001604567,0.01315192],"genre_scores_gemma":[0.8657895,0.002061024,0.1261091,0.0001351603,0.0001153341,0.0002334895,0.00062045,0.000231564,0.004704293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00445124,"threshold_uncertainty_score":0.0233382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05801157482304002,"score_gpt":0.4243103465802567,"score_spread":0.3662987717572166,"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."}}