{"id":"W2904996386","doi":"10.4018/978-1-5225-7059-2.ch001","title":"Using Diffusion Model for Prediction and Optimization of Drying Process of Building Material","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in civil and industrial engineering book series","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Diffusion; Humidity; Variable (mathematics); Constant (computer programming); Materials science; Process (computing); Flux (metallurgy); Convection; Thermodynamics; Mechanics; Biological system; Environmental science; Mathematics; Computer science; Physics; Mathematical analysis; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001513757,0.0002962092,0.0005271613,0.0002002979,0.00003794304,0.00002974943,0.00008372191,0.0003469997,0.00002507108],"category_scores_gemma":[0.00006242351,0.000309852,0.000034302,0.00002768285,0.0001165634,0.0009802249,0.00005196224,0.0001224402,2.791542e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004863656,"about_ca_system_score_gemma":0.00002885891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002813139,"about_ca_topic_score_gemma":0.000002918885,"domain_scores_codex":[0.9988912,0.000004559886,0.0005765961,0.0002200594,0.0001251921,0.0001823879],"domain_scores_gemma":[0.9995788,0.00003943975,0.0001697878,0.0001117297,0.00006276954,0.00003742873],"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":[0.0001544747,0.000002868802,0.000004770985,0.001621044,0.00002500895,2.684104e-7,0.0002071149,0.963883,0.03306761,0.0005932456,0.000004028266,0.0004365808],"study_design_scores_gemma":[0.0006338342,0.0001443868,5.66133e-7,0.003114748,0.00005637142,0.000005410139,0.00001415034,0.9486659,0.04494369,0.0006219239,0.001469257,0.0003297502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3951665,0.02113147,0.5601033,0.00002288053,0.006623972,0.005184819,0.002840164,0.0009645792,0.007962272],"genre_scores_gemma":[0.8992019,0.03069863,0.06265112,0.00001372031,0.002842811,0.000191151,0.0001771505,0.0008702987,0.003353271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5040353,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589927157754952,"score_gpt":0.2311206375945427,"score_spread":0.2052213660169932,"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."}}