{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219425,0.0004110822,0.0002830523,0.0007290808,0.000211348,0.000434859,0.0001939798,0.0003009877,0.001402148],"category_scores_gemma":[0.0001849429,0.00016829,0.0004810645,0.0006045785,0.0001383649,0.0006816277,0.0002055407,0.0006745208,0.0003999246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008873,"about_ca_system_score_gemma":0.000117206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003377633,"about_ca_topic_score_gemma":0.0007935797,"domain_scores_codex":[0.9998347,0.00001492957,0.00001677194,0.00003860201,0.00007918466,0.00001579731],"domain_scores_gemma":[0.9999163,0.00002057085,0.00003169106,0.000004619978,0.00002183163,0.000004978033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009800486,0.00005724363,0.0004346309,0.003548362,0.00003658237,0.0002742294,0.0000965461,0.0003267106,0.908668,0.001176761,0.00052096,0.08476187],"study_design_scores_gemma":[0.00001129369,0.000599032,0.006255886,0.0004747654,0.0001281359,0.001378933,0.0001495318,0.0009756183,0.9104463,0.000535776,0.07901084,0.00003384261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4322661,0.4642158,0.07827036,0.000536641,0.0004467613,0.0002616826,0.0007555203,0.000314293,0.02293271],"genre_scores_gemma":[0.6217286,0.3011164,0.06145042,0.0004826119,0.0002248407,0.0001329984,0.000695335,0.0001243822,0.01404432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001402148,"threshold_uncertainty_score":0.004690647,"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."}}