{"id":"W4390598080","doi":"","title":"Principal characteristics of suitable broiler genotypes adapted to outdoor system","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Broiler; Principal (computer security); Principal component analysis; Genotype; Computer science; Biology; Artificial intelligence; Animal science; Computer security","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":[0.0001235757,0.0003175836,0.0003310955,0.0009350071,0.000214303,0.0003655276,0.0001815209,0.0002962292,0.002799556],"category_scores_gemma":[0.0002907875,0.0001236761,0.0002534068,0.0003643488,0.0002314215,0.000128877,0.0002558969,0.0002883399,0.0006879023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732422,"about_ca_system_score_gemma":0.0001393299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915996,"about_ca_topic_score_gemma":0.0008701091,"domain_scores_codex":[0.9998241,0.00002282798,0.00001451144,0.00006708827,0.0000247508,0.00004665345],"domain_scores_gemma":[0.999404,0.0001022597,0.0001293331,0.00005382578,0.00008171315,0.0002288289],"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":[0.0006542458,0.00004917515,0.01139876,0.00003493871,0.00001601158,0.00009617235,0.0000830866,0.00007936538,0.985496,0.00005607255,0.0000377254,0.001998514],"study_design_scores_gemma":[0.00001920705,0.00112804,0.9003612,0.00001516356,0.00007403237,0.0009246244,0.000453101,0.0003041661,0.09517709,0.000125491,0.001390007,0.00002769737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983797,0.0001431865,0.0003531036,0.000006557496,0.000004537816,0.000006994125,0.0003946079,0.000009255784,0.0007020771],"genre_scores_gemma":[0.9965162,0.0001016884,0.0003445301,0.00001347232,0.000005509614,0.00001437187,0.0008517312,0.00003671579,0.002115866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002799556,"threshold_uncertainty_score":0.00936538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893444371233351,"score_gpt":0.2231818759474547,"score_spread":0.1942474322351212,"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."}}