{"id":"W4309694810","doi":"10.1016/j.animal.2022.100683","title":"Impacts of production conditions on goat milk vitamin, carotenoid contents and colour indices","year":2022,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Région Normandie; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Agence Nationale de la Recherche","keywords":"Carotenoid; Food science; Vitamin; Milk production; Production (economics); Animal science; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006183144,0.00007517719,0.00008149714,0.00002720602,0.0001272552,0.000004545168,0.00007344081,0.00003719098,0.00003490646],"category_scores_gemma":[0.00003121657,0.00007541765,0.00002744099,0.00004373526,0.00007822506,0.000001999586,0.00007204124,0.00006876578,0.000001600942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007134091,"about_ca_system_score_gemma":0.00002901133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003222937,"about_ca_topic_score_gemma":0.0000127686,"domain_scores_codex":[0.9994483,0.00004583428,0.0001033864,0.0001923583,0.00009885318,0.0001112823],"domain_scores_gemma":[0.9997329,0.00000687466,0.0000673683,0.0001194592,0.00003229636,0.00004110666],"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":[0.0002570193,0.0001403169,0.02214977,0.00001727689,0.00004858511,6.096898e-7,0.0002184635,0.000145218,0.9724439,0.001158264,0.003197201,0.000223383],"study_design_scores_gemma":[0.0005403525,0.003848484,0.82253,0.000007178832,0.00002885219,0.00003225186,0.0006657903,0.000001863491,0.1687422,0.0003019423,0.003170758,0.0001303643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987032,0.0002693053,0.00001064408,0.0001509855,0.0001355538,0.0001733037,0.0001097066,0.000004841584,0.0004424307],"genre_scores_gemma":[0.9990533,0.00001407989,0.0002897256,0.0001476895,0.00008891787,0.00002819783,0.00008036639,0.000008698782,0.0002890159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8037018,"threshold_uncertainty_score":0.3075443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087528505062771,"score_gpt":0.241881449207842,"score_spread":0.2310061641572143,"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."}}