{"id":"W4385690318","doi":"10.1016/j.energy.2023.128718","title":"Energy and quality analysis of forced convection air-energy assisted solar timber drying","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; University of British Columbia","funders":"","keywords":"Environmental science; Solar energy; Moisture; Meteorology; Daylight; Solar dryer; Water content; Air mass (solar energy); Sunlight; Atmospheric sciences; Environmental engineering; Materials science; Engineering; Thermodynamics; Physics; Optics; Geotechnical engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002625182,0.0001209784,0.0002924345,0.00007629568,0.0001796994,0.0000235938,0.00009555045,0.0001139923,0.00005760759],"category_scores_gemma":[0.00003243597,0.00005614266,0.0001635035,0.001283094,0.00004109474,0.00007217719,0.00006952848,0.00003479512,9.267544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573701,"about_ca_system_score_gemma":0.000005667936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899405,"about_ca_topic_score_gemma":0.01277346,"domain_scores_codex":[0.9988608,0.0001291207,0.0002859735,0.0003028223,0.0001943291,0.0002269411],"domain_scores_gemma":[0.9994574,0.000190289,0.0001273101,0.00007252132,0.00007362403,0.00007884853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008483973,0.00007639537,0.003287042,0.00001177424,0.0007430161,0.000004355149,0.0001459191,0.01376191,0.7030222,0.02495829,0.0006058766,0.2532983],"study_design_scores_gemma":[0.0009687325,0.0006501933,0.2639682,0.00008534431,0.001054858,0.000007571899,0.001617101,0.4428056,0.1702844,0.002793801,0.114285,0.001479151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966125,0.0001482852,0.001328059,0.0002208496,0.0001120497,0.00001057876,0.00001845119,0.0001439125,0.001405262],"genre_scores_gemma":[0.9968372,0.0001393752,0.0000366266,0.0002113252,0.0000870945,0.000009660856,0.0002615547,0.000001555859,0.002415602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5327379,"threshold_uncertainty_score":0.9875386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117935117451521,"score_gpt":0.2607303853770321,"score_spread":0.2095510342025169,"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."}}