{"id":"W2061440707","doi":"10.2202/1556-3758.1517","title":"Drying Kinetics of Osmotically Pre-Treated Plum Tomato Pieces","year":2008,"lang":"en","type":"article","venue":"International Journal of Food Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Thermal diffusivity; Moisture; Chemistry; Osmotic dehydration; Kinetics; Water content; Sugar; Falling (accident); Analytical Chemistry (journal); Thermodynamics; Animal science; Sucrose; Chromatography; Food science; Biology","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":[0.00009480398,0.00008246002,0.0001426296,0.00003990695,0.00001971121,0.00001740065,0.0002906579,0.0000453066,0.00002091875],"category_scores_gemma":[0.000123269,0.0000385949,0.0001048189,0.00009245444,0.0000144454,0.0001053917,0.0000355776,0.0001099281,0.000001297247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002441126,"about_ca_system_score_gemma":0.00000604013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001822727,"about_ca_topic_score_gemma":0.00001091401,"domain_scores_codex":[0.9990715,0.000008560196,0.0003899978,0.00007060558,0.000346365,0.0001130188],"domain_scores_gemma":[0.9993786,0.00008165364,0.0001588494,0.00002278695,0.0002968299,0.00006134659],"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":[0.0000515403,0.0001182509,0.003071742,0.000009282318,0.0001817088,0.00004088205,0.0002411742,0.06258121,0.9233951,0.0001750364,0.00006234932,0.01007171],"study_design_scores_gemma":[0.00131158,0.003310595,0.2511469,0.00102114,0.00008135889,0.001962146,0.00017592,0.06815937,0.6669298,0.0002404996,0.004986066,0.0006746716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981339,0.0002419983,0.0008858137,0.0002169316,0.0003863141,0.00002467017,0.000008592116,0.00002273422,0.00007904363],"genre_scores_gemma":[0.9976041,0.00005539007,0.001960951,0.00001815216,0.000344349,5.389066e-7,0.000002968601,0.000001407133,0.00001214253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2564653,"threshold_uncertainty_score":0.1573854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619060506273466,"score_gpt":0.2033013090304528,"score_spread":0.1871107039677181,"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."}}