{"id":"W3214679698","doi":"10.1590/1519-6984.249756","title":"Mathematical models to describe the growth curves of Vietnamese Ri chicken","year":2021,"lang":"en","type":"article","venue":"Brazilian Journal of Biology","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gompertz function; Akaike information criterion; Bayesian information criterion; Biology; Growth curve (statistics); Breed; Statistics; Growth model; Mathematics; Animal science; Mean squared error; Veterinary medicine","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":[0.000495096,0.00009136481,0.0002613875,0.00001250214,0.0000798574,0.00001403939,0.0003905528,0.00005429504,0.0004925182],"category_scores_gemma":[0.0001597193,0.00002698195,0.000150746,0.0002364336,0.00008541212,0.00007457331,0.0001319513,0.0001266914,0.00001729796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008166055,"about_ca_system_score_gemma":0.00001946151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001097429,"about_ca_topic_score_gemma":0.0000274861,"domain_scores_codex":[0.9989656,0.0002139778,0.0003844513,0.0001157123,0.0001271762,0.0001930934],"domain_scores_gemma":[0.9992265,0.0002130298,0.0001781451,0.00006561243,0.0002150886,0.0001016296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000557351,0.001844357,0.02888874,0.0005297005,0.0009480093,0.0002154927,0.005292596,0.0002625935,0.4494199,0.1915586,0.08140041,0.2390822],"study_design_scores_gemma":[0.001555733,0.008677,0.2069439,0.002327244,0.0005602422,0.001893905,0.01433712,0.0005116111,0.04475133,0.6217102,0.09527972,0.001452039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641657,0.00171839,0.0005272769,0.02982894,0.0001860298,0.0001528674,0.00002457934,0.000007325325,0.003388874],"genre_scores_gemma":[0.9967272,0.000421365,0.0007679785,0.001605944,0.0001880878,0.000002590436,0.000005269357,7.609356e-7,0.0002808609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4301515,"threshold_uncertainty_score":0.5392729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451827224604857,"score_gpt":0.2454396576198145,"score_spread":0.2109213853737659,"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."}}