{"id":"W2070100325","doi":"10.1111/j.1745-4530.2002.tb00575.x","title":"THERMO‐PHYSICAL PROPERTIES OF SELECTED VEGETABLES AS INFLUENCED BY TEMPERATURE AND MOISTURE CONTENT","year":2002,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Water content; Moisture; Thermal conductivity; Heat capacity; Calorimeter (particle physics); Differential scanning calorimetry; Chemistry; Materials science; Food science; Composite material; Thermodynamics","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":[0.000251348,0.0002236186,0.0002480004,0.0002651193,0.0001371868,0.0002537777,0.00009944029,0.0001620545,0.0005651469],"category_scores_gemma":[0.0004571257,0.000176054,0.000192541,0.0003050501,0.000186594,0.0001977452,0.0001073157,0.0001933835,0.0001186456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604971,"about_ca_system_score_gemma":0.00007436841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208903,"about_ca_topic_score_gemma":0.001283352,"domain_scores_codex":[0.9999082,0.00001954484,0.000006087443,0.00002480291,0.00002751491,0.00001377784],"domain_scores_gemma":[0.9997392,0.000108282,0.00005639623,0.00001845582,0.00005487582,0.00002284142],"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":[0.000401118,0.00001513123,0.005040667,0.0000381682,0.00002052609,0.0000469493,0.00007498041,0.0007423405,0.9924998,0.00001380852,0.00001441423,0.001092271],"study_design_scores_gemma":[0.00002138856,0.001362092,0.1947027,0.00001246902,0.00009340509,0.0002068825,0.0002121215,0.005374341,0.7973325,0.00007816458,0.0005734396,0.00003061941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993136,0.0000923546,0.0003499598,0.000003278357,0.000001164617,0.000003237272,0.0001046244,0.000007397183,0.0001243202],"genre_scores_gemma":[0.9992937,0.00006514532,0.0002589929,0.000003736564,5.391205e-7,0.000006819917,0.0001760838,0.000006303808,0.0001886736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208903,"threshold_uncertainty_score":0.002403736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867655740006816,"score_gpt":0.1799427259175301,"score_spread":0.1612661685174619,"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."}}