{"id":"W4389934374","doi":"10.1093/af/vfad070","title":"Meat protein alternatives: exotic species","year":2023,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Computational biology","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":[0.0007580178,0.0002666906,0.0003067545,0.0002976683,0.0004066861,0.0009443274,0.0003671448,0.0005289357,0.006316076],"category_scores_gemma":[0.000299943,0.00008156629,0.0002218426,0.0003982057,0.0007498426,0.0009947214,0.0008500038,0.0006183665,0.0002978253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002572849,"about_ca_system_score_gemma":0.000183115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004709335,"about_ca_topic_score_gemma":0.002222277,"domain_scores_codex":[0.9998272,0.00004827061,0.000006498281,0.00004936304,0.00003016268,0.00003845673],"domain_scores_gemma":[0.9997949,0.00004189164,0.00005566829,0.00001806365,0.00002497721,0.00006452877],"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":[0.00946136,0.002528796,0.04209317,0.002805634,0.0003971749,0.002829324,0.003548495,0.0009169796,0.6168156,0.04836804,0.003349727,0.2668858],"study_design_scores_gemma":[0.0006099975,0.02729711,0.4567342,0.00132364,0.001030548,0.01095238,0.021985,0.003474226,0.08541209,0.03865559,0.3523545,0.0001706992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971618,0.005306439,0.001227379,0.001109714,0.00009431803,0.00001831823,0.00009095995,0.00001500906,0.02051982],"genre_scores_gemma":[0.9848241,0.004594722,0.00319256,0.0008159331,0.0000882558,0.00002237325,0.0001755585,0.00001519766,0.006271397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006316076,"threshold_uncertainty_score":0.02112937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336841067378836,"score_gpt":0.2412368081119101,"score_spread":0.2178683974381218,"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."}}