{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190654,0.000351772,0.00021268,0.0002248631,0.0001419999,0.0002056136,0.0001117086,0.0001053103,0.001045723],"category_scores_gemma":[0.0003099151,0.0001385192,0.0002064805,0.0001947346,0.000135333,0.0002733738,0.0001683698,0.0003844014,0.0001800402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107276,"about_ca_system_score_gemma":0.0001187221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005943216,"about_ca_topic_score_gemma":0.001420095,"domain_scores_codex":[0.9999074,0.00001367615,0.00001264574,0.00002270421,0.00002608946,0.00001753464],"domain_scores_gemma":[0.9998857,0.00003277912,0.0000325545,0.00001058146,0.00002216485,0.00001627147],"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":[0.0001224584,0.00002592421,0.0003968775,0.0001127276,0.00001440436,0.00005104237,0.00005334874,0.0001281505,0.9959752,0.0000320812,0.00002628283,0.003061668],"study_design_scores_gemma":[0.000007302537,0.0002689055,0.005887936,0.00001500322,0.00004523919,0.0001280799,0.00006080879,0.0004488594,0.9909479,0.00001673848,0.00216611,0.000007092416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931476,0.003152069,0.001983002,0.00003809194,0.00003527875,0.00004053301,0.0001439312,0.00002576646,0.001433685],"genre_scores_gemma":[0.9866068,0.004510691,0.006603191,0.00006730652,0.00001991352,0.00004139412,0.0002960157,0.00005384866,0.001800897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045723,"threshold_uncertainty_score":0.003498316,"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."}}