{"id":"W4388532231","doi":"10.3390/foods12224069","title":"A Role of Multi-Omics Technologies in Sheep and Goat Meats: Progress and Way Ahead","year":2023,"lang":"en","type":"review","venue":"Foods","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Agriculture and Agri-Food Canada","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; Modern Agricultural Technology Industry System of Shandong province; National Natural Science Foundation of China","keywords":"Omics; Metabolomics; Biotechnology; Biology; Proteomics; Quality (philosophy); Computational biology; Bioinformatics; Genetics","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":[0.002276785,0.001121181,0.001886691,0.002429646,0.0003045674,0.001896353,0.0009369655,0.001726386,0.002582454],"category_scores_gemma":[0.001330094,0.0003734939,0.00110331,0.002651459,0.0006323879,0.002645128,0.00104333,0.002374112,0.001319828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713812,"about_ca_system_score_gemma":0.002209096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411901,"about_ca_topic_score_gemma":0.002272903,"domain_scores_codex":[0.9995479,0.00009740179,0.00005060256,0.00007725622,0.0001736328,0.00005315457],"domain_scores_gemma":[0.9987097,0.0006005518,0.000125628,0.00003802673,0.0004388986,0.00008715087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001020326,0.0000862682,0.0004083554,0.02533142,0.000212998,0.0002345111,0.0001354832,0.0005706841,0.008793766,0.006664485,0.01506438,0.9423957],"study_design_scores_gemma":[0.00001638347,0.0002324109,0.002067608,0.005408936,0.0003068207,0.0008326587,0.0002344324,0.0003353887,0.002552124,0.004739882,0.9832193,0.00005409353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002002262,0.9980755,0.0004175909,0.0005509247,0.0001855656,0.000004574926,0.00002012528,0.000008081006,0.0005375182],"genre_scores_gemma":[0.0008703019,0.9973895,0.0007817788,0.0003239879,0.0001662892,0.000006910621,0.00004395535,0.000002857063,0.0004144135],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002582454,"threshold_uncertainty_score":0.01204091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250385218674483,"score_gpt":0.338115240072608,"score_spread":0.2130767182051597,"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."}}