{"id":"W2145380055","doi":"10.1079/wps20033","title":"Feathering in commercial poultry I. Feather growth and composition","year":2004,"lang":"en","type":"article","venue":"World s Poultry Science Journal","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Feather; Moulting; Biology; Zoology; Feather meal; Ecology; Fishery; Larva","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":[0.0003361997,0.0001001228,0.0001291964,0.00006384392,0.0005343194,0.0001402056,0.0002456487,0.00003884361,0.0001099299],"category_scores_gemma":[0.00001751104,0.00004320345,0.00004180291,0.0007266602,0.0002238288,0.000384279,0.0000508568,0.0002941877,0.00001279876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006021677,"about_ca_system_score_gemma":0.00002223643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110078,"about_ca_topic_score_gemma":0.0001455742,"domain_scores_codex":[0.9990554,0.00003792775,0.0001793568,0.000201681,0.0002116349,0.0003139985],"domain_scores_gemma":[0.999648,0.00004113122,0.00007213758,0.0000242185,0.00005039044,0.0001641174],"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":[0.0000459059,0.0001109688,0.1828297,0.00000200348,0.000001551367,0.00001422122,0.0001448025,0.000008535759,0.8074948,0.003054032,0.00004565047,0.006247827],"study_design_scores_gemma":[0.0003915875,0.0001386483,0.9920599,0.0000510239,0.000002164426,0.0001779247,0.0006549302,0.000005550718,0.001062804,0.004841485,0.0004810596,0.0001328553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913953,0.00007582133,0.000008752453,0.006077496,0.0001282258,0.00006147239,0.000002949187,0.00001797492,0.002232042],"genre_scores_gemma":[0.9980884,0.00005746954,0.0004524693,0.001076836,0.0002807965,0.000001553792,0.00000218873,6.963025e-7,0.00003965486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8092303,"threshold_uncertainty_score":0.4109606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473807100410018,"score_gpt":0.2355536499318086,"score_spread":0.2208155789277084,"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."}}