{"id":"W3093345585","doi":"10.1101/2020.10.15.341586","title":"In Pursuit of a Better Broiler: Growth, Efficiency and Mortality of 16 Strains of Broiler Chickens","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund","keywords":"Broiler; Biology; Feed conversion ratio; Welfare; Poultry farming; Productivity; Growth rate; Yield (engineering); Animal science; Animal welfare; Biotechnology; Body weight; Ecology; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007674127,0.0005904028,0.0003543261,0.001109717,0.0003491735,0.0003342212,0.0003339276,0.0004148121,0.0009315978],"category_scores_gemma":[0.0006643757,0.0002157107,0.0004669469,0.0003170079,0.0005137537,0.0004167147,0.0004118858,0.0004921425,0.0002299478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896134,"about_ca_system_score_gemma":0.0001550165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664323,"about_ca_topic_score_gemma":0.005040754,"domain_scores_codex":[0.9994561,0.00009368617,0.00008697687,0.0001885985,0.000106725,0.00006791844],"domain_scores_gemma":[0.9987925,0.0002044926,0.0003633016,0.0001127544,0.0002301249,0.0002967789],"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":[0.005021402,0.001940143,0.4182633,0.000116861,0.0002287221,0.0003099758,0.0006535027,0.00044232,0.5662328,0.00005902607,0.0001203208,0.006611587],"study_design_scores_gemma":[0.00003089118,0.006576708,0.9600545,0.000008477715,0.00004687837,0.0003163525,0.0004201202,0.0003224584,0.03200922,0.00001176171,0.0001865973,0.00001593211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996748,0.0000326493,0.00006776475,0.000003989389,0.000002058198,0.00001157395,0.0001087756,0.00000226965,0.0000961937],"genre_scores_gemma":[0.99834,0.00003287852,0.0004960587,0.00002340661,0.000003070406,0.00003650241,0.0004500649,0.000007837744,0.0006100166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002664323,"threshold_uncertainty_score":0.005297661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276782018011543,"score_gpt":0.2218480359904721,"score_spread":0.1990802158103567,"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."}}