{"id":"W2098466999","doi":"10.3382/ps.2008-00102","title":"Nonlinear mixed models to study metabolizable energy utilization in broiler breeder hens","year":2009,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"U.S. Department of Agriculture","keywords":"Mathematics; Broiler; Animal science; Statistics; Linear model; Nonlinear system; Exponential function; Nonlinear model; Biology; Physics; Mathematical analysis","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":[0.000246018,0.000102614,0.0001428904,0.00003970138,0.0002064579,0.0000564526,0.0003629991,0.00004039595,0.0001190838],"category_scores_gemma":[0.00003017851,0.00004398458,0.00002952623,0.001464941,0.00006064185,0.000312741,0.00005346663,0.0000584333,0.00002711921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001735214,"about_ca_system_score_gemma":0.00001288179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004068439,"about_ca_topic_score_gemma":0.0002623154,"domain_scores_codex":[0.9987931,0.00005971283,0.0001749053,0.0003954341,0.0002530164,0.0003237924],"domain_scores_gemma":[0.9996274,0.00003358209,0.0000336947,0.00006326904,0.0001039558,0.0001380734],"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":[0.00008891891,0.001581974,0.0159355,9.965321e-7,0.000002663466,0.000005335169,0.00042999,0.0007702736,0.9040074,0.005945719,0.0004681617,0.07076307],"study_design_scores_gemma":[0.0002942198,0.0009434132,0.9769518,0.000008362118,0.000004084241,0.000003897443,0.002319278,0.005435917,0.003027801,0.006022108,0.004724524,0.0002645698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997021,0.00005324347,0.0001145805,0.0009924972,0.0000764291,0.0001432688,0.000007956147,0.00003940884,0.001551622],"genre_scores_gemma":[0.9972504,0.00001862429,0.0003984939,0.002092465,0.00008180014,0.000007758101,0.00001033746,4.503821e-7,0.0001396344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9610164,"threshold_uncertainty_score":0.1793639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07670185255802017,"score_gpt":0.279245015491634,"score_spread":0.2025431629336138,"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."}}