{"id":"W2373780931","doi":"","title":"Test Data Prediction of Thermal Protective Performance of Fire Protective Clothing Based on Artificial Neural Network","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Clothing; Artificial neural network; Test data; Test (biology); Thermal; Simulation; Artificial intelligence; Meteorology","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":[0.00009105331,0.0001264819,0.0001781837,0.00004020766,0.00008623255,0.00001063819,0.0002555397,0.00005812013,0.000001646545],"category_scores_gemma":[0.000001463289,0.0001241638,0.0000365521,0.0002253496,0.00002642928,0.0001213845,0.00002100065,0.00016811,0.00000320904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003359427,"about_ca_system_score_gemma":0.00001256698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006140112,"about_ca_topic_score_gemma":0.000001387231,"domain_scores_codex":[0.9991975,0.00001976782,0.0002984059,0.0002179193,0.0001071613,0.0001592621],"domain_scores_gemma":[0.99932,0.00006206431,0.00009538155,0.000430216,0.00006531715,0.00002700156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002893299,0.00008092378,0.000203329,0.00004791725,0.00001319512,1.311133e-7,0.00009938783,0.7325864,0.1074336,0.00003395322,0.00004687109,0.1594253],"study_design_scores_gemma":[0.0002158138,0.0001835405,0.01180885,0.00006080413,0.00001245458,0.000001659464,0.000008416435,0.9738573,0.01294897,0.00008178602,0.0007257017,0.00009465185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.154476,0.00007388798,0.8422173,0.00005510694,0.00003363303,0.002420688,0.0001864714,0.0002304986,0.0003064068],"genre_scores_gemma":[0.990961,0.000001094645,0.008416216,0.00002602145,0.0003267611,0.0002011712,0.00004937553,0.00001584141,0.000002512924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.836485,"threshold_uncertainty_score":0.5063254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316228069012972,"score_gpt":0.2137159496326947,"score_spread":0.200553668942565,"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."}}