{"id":"W3160637408","doi":"10.1080/07373937.2021.1915796","title":"Drying technologies for edible insects and their derived ingredients","year":2021,"lang":"en","type":"article","venue":"Drying Technology","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Blanching; Ingredient; Shelf life; Roasting; Raw material; Food science; Dehydration; Pulp and paper industry; Environmental science; Extraction (chemistry); Food quality; Moisture; Chemistry; Engineering","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":[0.0001129919,0.000137677,0.0001867376,0.00005762578,0.0003507128,0.00004812985,0.0001884631,0.0003041399,0.00001958763],"category_scores_gemma":[0.0005658031,0.00006062674,0.00004302582,0.0006664455,0.0001313965,0.00006927213,0.0002386352,0.0001414406,0.000004008155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001843664,"about_ca_system_score_gemma":0.00001049008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008330001,"about_ca_topic_score_gemma":0.0000965451,"domain_scores_codex":[0.999125,0.00002153757,0.0001385317,0.0003355666,0.00005491585,0.0003244527],"domain_scores_gemma":[0.9995428,0.0001728314,0.00006149369,0.00008581324,0.0001107794,0.00002624508],"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":[0.000008303609,0.00002775997,0.004650753,0.00001699836,0.00001126668,0.000005004382,0.00006741727,5.863068e-7,0.800096,0.002745881,0.0001506032,0.1922195],"study_design_scores_gemma":[0.0003237684,0.000200483,0.002551064,0.00005999809,0.000007798228,0.00004615493,0.002608982,0.0003599614,0.9576173,0.01714866,0.0188415,0.0002343609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939033,0.0007207235,0.0002252968,0.003516708,0.000201037,0.00021368,0.0000145346,0.0009580307,0.0002466993],"genre_scores_gemma":[0.99846,0.0001396375,0.0009867385,0.000212226,0.00004279337,0.0000712273,0.00003835503,0.000001905481,0.00004711116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919851,"threshold_uncertainty_score":0.2697434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727547282367718,"score_gpt":0.2165401072249696,"score_spread":0.1992646344012924,"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."}}