{"id":"W2015462946","doi":"10.1080/07373937.2012.690803","title":"Energy Performance of Convective Dryers","year":2012,"lang":"en","type":"article","venue":"Drying Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Adiabatic process; Environmental science; Combustion; Process engineering; Humidity; Convection; Waste management; Air dryer; Energy consumption; Moisture; Fluidized bed; Nuclear engineering; Environmental engineering; Materials science; Thermodynamics; Engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635002,0.0003131292,0.0003803195,0.0005012077,0.0003172392,0.0005151667,0.000615899,0.0003106712,0.002293726],"category_scores_gemma":[0.001087173,0.0001207394,0.0003669562,0.0004853702,0.0002501419,0.0005874063,0.0003698402,0.0002520343,0.0007486395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455807,"about_ca_system_score_gemma":0.0001742332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005377249,"about_ca_topic_score_gemma":0.0005112479,"domain_scores_codex":[0.9996153,0.00003383246,0.00001737466,0.00009602804,0.0002000234,0.00003726977],"domain_scores_gemma":[0.9996969,0.0001528561,0.0000300129,0.00004255138,0.00006650225,0.00001120162],"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":[0.0008848751,0.0001985318,0.009598993,0.0007406622,0.00007418809,0.00009433402,0.0003337327,0.182438,0.6114006,0.004132696,0.0006646329,0.1894387],"study_design_scores_gemma":[0.00004188307,0.0005569775,0.01231224,0.00002675911,0.00004384162,0.0001157996,0.00006011408,0.1335054,0.8455823,0.00134613,0.006370988,0.00003745873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645969,0.002131202,0.1235885,0.00005624869,0.00002916026,0.00006507822,0.0003867413,0.0005369424,0.008609296],"genre_scores_gemma":[0.9869947,0.0005174032,0.00926815,0.00001056334,0.000007167713,0.00002164891,0.0002306547,0.00006740013,0.002882283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293726,"threshold_uncertainty_score":0.007673323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569738311944107,"score_gpt":0.1994049441895622,"score_spread":0.1837075610701211,"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."}}