{"id":"W2988695253","doi":"10.2478/aoas-2019-0067","title":"Meat Quality of Commercial Chickens Reared in Different Production Systems: Industrial, Range and Organic","year":2019,"lang":"en","type":"article","venue":"Annals of Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Axencia Galega de Innovación; CYTED Ciencia y Tecnología para el Desarrollo; Heart and Stroke Foundation of Canada; American Heart Association","keywords":"Broiler; Food science; Nutrient; Organic acid; Organic production; Chicken breast; Fatty acid; Biology; Animal science; Chemistry; Organic farming; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003461102,0.0004535137,0.0002861423,0.000723174,0.000320638,0.0005394647,0.0001761213,0.0002689917,0.0009875693],"category_scores_gemma":[0.0003787715,0.0003028062,0.0002882921,0.0002745204,0.000446893,0.0002323749,0.0003153172,0.0003359633,0.000199632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061626,"about_ca_system_score_gemma":0.0001375838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660373,"about_ca_topic_score_gemma":0.005587167,"domain_scores_codex":[0.9996052,0.0000592256,0.0000380032,0.0001560933,0.00007435302,0.00006708855],"domain_scores_gemma":[0.9992105,0.0001239694,0.0002573859,0.00004016115,0.0001702744,0.0001977325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004379043,0.0004605039,0.09498444,0.0002158908,0.0001491477,0.0002685521,0.000741348,0.0001207109,0.8951743,0.00003105972,0.00005712114,0.003417812],"study_design_scores_gemma":[0.00002886154,0.003699981,0.9471518,0.00002050399,0.00009524078,0.0001956569,0.0008199033,0.0001615408,0.0475169,0.00001220984,0.0002818674,0.00001552382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996672,0.00006764814,0.00005016187,0.000003803591,0.00000241971,0.000005447276,0.00007422746,0.000001688669,0.0001275354],"genre_scores_gemma":[0.9985964,0.00008155366,0.0003159674,0.00002297211,0.000003208929,0.00001307933,0.0002513906,0.000005531972,0.0007099919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002660373,"threshold_uncertainty_score":0.005289793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811810276126974,"score_gpt":0.327618782952421,"score_spread":0.1464377553397235,"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."}}