{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007541509,0.0007676983,0.0004301877,0.0005036221,0.0001877197,0.0004072323,0.0004894219,0.0005302161,0.0006891746],"category_scores_gemma":[0.003884724,0.0001866586,0.0003271264,0.0003029124,0.0002164016,0.0004874135,0.0001916576,0.0003767456,0.0001808023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756112,"about_ca_system_score_gemma":0.0003003751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007583813,"about_ca_topic_score_gemma":0.002936843,"domain_scores_codex":[0.9996138,0.0001045538,0.0000312827,0.00007363789,0.0001334681,0.00004324129],"domain_scores_gemma":[0.998794,0.0005730612,0.00008959544,0.00009740279,0.0004095183,0.00003652354],"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":[0.0006508567,0.0001956325,0.01578866,0.0001297149,0.00006616991,0.0001479606,0.00009169513,0.8623933,0.0185554,0.0004264608,0.0005133521,0.1010409],"study_design_scores_gemma":[0.000003539046,0.00005652282,0.001826388,0.000002158154,0.000004846778,0.000009083861,0.000006013705,0.9942845,0.003709356,0.00005081252,0.00004235584,0.000004458274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584154,0.000212984,0.3377622,0.0001141445,0.00006407021,0.00006652725,0.0001514419,0.001220775,0.001992506],"genre_scores_gemma":[0.9922426,0.00003176343,0.007240329,0.000006877832,0.000002949235,0.0000275915,0.00008774648,0.0000113456,0.0003487559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007583813,"threshold_uncertainty_score":0.01507938,"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."}}