{"id":"W4256009930","doi":"10.31219/osf.io/nh6k3","title":"Insects farmed for food and feed — global scale, practices, and policy","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal feed; Agriculture; Fishing; Agricultural science; Biology; Agricultural economics; China; Scale insect; Business; Animal food; Fishery; Ecology; Biotechnology; Geography; Economics; Food science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001983548,0.000409288,0.0002023944,0.001128546,0.0009106875,0.004533105,0.0008157071,0.001618567,0.01065363],"category_scores_gemma":[0.002013967,0.0002225557,0.0003519853,0.002239696,0.001887808,0.004139154,0.001953147,0.001428755,0.00124798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006220231,"about_ca_system_score_gemma":0.005804246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04192331,"about_ca_topic_score_gemma":0.05040051,"domain_scores_codex":[0.9987889,0.0002295798,0.00006284832,0.0001952991,0.0004431995,0.0002802551],"domain_scores_gemma":[0.9972627,0.0004328357,0.0006555059,0.000161969,0.0006281579,0.000858762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004856253,0.0004314618,0.100481,0.002744205,0.0001694044,0.0006675184,0.00219327,0.002119563,0.009764167,0.2261316,0.1850299,0.4697822],"study_design_scores_gemma":[0.00007588183,0.000512586,0.2942197,0.001988638,0.00008234186,0.0005022048,0.004461037,0.001344756,0.001537873,0.01590902,0.679289,0.00007695422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1759306,0.1194968,0.003606256,0.2559372,0.001132282,0.0003063818,0.006940381,0.0005782269,0.436072],"genre_scores_gemma":[0.8484665,0.05828171,0.008397337,0.03551655,0.0006338591,0.0003285678,0.002750056,0.0001003986,0.04552497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04192331,"threshold_uncertainty_score":0.08335859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05317063227218292,"score_gpt":0.2973966127169959,"score_spread":0.244225980444813,"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."}}