{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137006,0.00007373608,0.0001230748,0.00003156309,0.00008616353,0.000003178396,0.0001654534,0.0001352434,0.00003366129],"category_scores_gemma":[0.00002452579,0.00003065901,0.00003478336,0.000307985,0.00008841241,0.00007197058,0.00006986989,0.00008601069,0.00001038373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001352395,"about_ca_system_score_gemma":0.00000315607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000902735,"about_ca_topic_score_gemma":0.00001715902,"domain_scores_codex":[0.99941,0.00001280857,0.0001224377,0.000114328,0.0000699372,0.0002704569],"domain_scores_gemma":[0.9997687,0.00004057628,0.00006433899,0.0000521487,0.00004064132,0.00003363476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001905368,0.00006456205,0.07573233,0.000006418589,0.00001703125,3.405491e-7,0.00008966224,0.000009652316,0.6256645,0.01115825,0.00008044589,0.2871578],"study_design_scores_gemma":[0.0002309347,0.0006905979,0.01742796,0.00006214184,0.00002268785,0.00002751348,0.001114645,0.001888217,0.9553173,0.001435142,0.02139995,0.0003829635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997739,0.0004023605,0.0000337096,0.0003278229,0.0001283737,0.00002848489,0.00000232883,0.0001621283,0.001175771],"genre_scores_gemma":[0.9994974,0.00004034226,0.0002509751,0.00006008731,0.00006778406,0.000009592113,0.000004453737,7.209086e-7,0.0000686276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3296528,"threshold_uncertainty_score":0.1250238,"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."}}