{"id":"W2016923260","doi":"10.5539/mas.v2n5p163","title":"The Application of BP Artificial Neural Network in Fabric Warmth Retention Test","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Function (biology); Value (mathematics); Relation (database); Test data; Water retention; Algorithm; Artificial intelligence; Biological system; Mathematics; Data mining; Machine learning; Soil science; Environmental science","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":[0.00103142,0.0004823752,0.0004648259,0.0005173163,0.0002308078,0.0004096747,0.0005525253,0.0007299324,0.000576217],"category_scores_gemma":[0.002082101,0.0002670255,0.0002407099,0.0004500822,0.0002726605,0.0005191673,0.0002585824,0.0004724451,0.0001832921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530557,"about_ca_system_score_gemma":0.0003597208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256371,"about_ca_topic_score_gemma":0.002105186,"domain_scores_codex":[0.999479,0.0001854201,0.00002815274,0.00007109977,0.0001962465,0.00004010801],"domain_scores_gemma":[0.9993259,0.0003125859,0.00004928655,0.00003548302,0.0002509115,0.00002593175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001387693,0.0002311321,0.007196343,0.0003975745,0.00009204768,0.000481206,0.0001889818,0.365227,0.1238742,0.001727664,0.0009763757,0.4982198],"study_design_scores_gemma":[0.00001239484,0.0001744402,0.002007532,0.000009377316,0.00001935169,0.00005363079,0.0000159071,0.966965,0.03003081,0.0003233928,0.0003670733,0.00002100094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2760959,0.0009940331,0.7156982,0.0001951255,0.0001479915,0.0001049472,0.00007741302,0.002019501,0.004667016],"genre_scores_gemma":[0.9339232,0.0002864877,0.06403176,0.00003016226,0.00001782099,0.0000485713,0.00004106709,0.00002919525,0.00159157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004256371,"threshold_uncertainty_score":0.008463204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031894932035055,"score_gpt":0.2679944343656256,"score_spread":0.227675485045275,"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."}}