{"id":"W2937346777","doi":"10.5539/jas.v11n5p236","title":"Effect of Dehydration Methods on Okra Chemical and Physical Composition","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pectin; Raw material; Dehydration; Food science; Carotenoid; Solubility; Chemistry; Chlorophyll; Chemical composition; Composition (language); Pulp and paper industry; Organic chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008678201,0.0000814933,0.0001937784,0.00001521341,0.00007838476,0.00004381104,0.0001752515,0.00003247624,0.000005771325],"category_scores_gemma":[0.0000723523,0.00002189745,0.00007925354,0.0003088801,0.00009249742,0.0002867014,0.00003560056,0.000124261,0.000002907662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002803219,"about_ca_system_score_gemma":0.000005904712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000951891,"about_ca_topic_score_gemma":5.087707e-7,"domain_scores_codex":[0.9991173,0.00009263728,0.0001825941,0.0001318008,0.0003457734,0.000129865],"domain_scores_gemma":[0.9992335,0.0003113775,0.0002034552,0.00002267967,0.0001453786,0.00008359967],"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":[0.00004559745,0.00002678618,0.000255759,0.000005291979,0.000002687705,2.177816e-7,0.0000708202,0.0001388907,0.9639159,0.00008576635,0.00000955809,0.03544276],"study_design_scores_gemma":[0.0001641796,0.002341492,0.07040548,0.0000717768,0.00001492825,0.00004609428,0.00008275015,0.0007224916,0.926008,0.00004909235,0.00001774407,0.00007591444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992934,0.00003036952,0.000007696701,0.0002636413,0.0001213671,0.00007764393,9.171942e-7,0.000005915063,0.0001990802],"genre_scores_gemma":[0.9992134,0.000005641293,0.0006057144,0.0000224728,0.0001430972,4.642003e-7,0.0000011591,2.429051e-7,0.000007792614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07014973,"threshold_uncertainty_score":0.08929522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151309492560232,"score_gpt":0.2892186321477627,"score_spread":0.2777055372221603,"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."}}