{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002358946,0.0001874926,0.0001056656,0.0007399539,0.0003651811,0.0003530739,0.0001775395,0.0003207517,0.001376391],"category_scores_gemma":[0.0003904801,0.0001306956,0.0001071176,0.0004524539,0.0003175945,0.0002115095,0.0001800215,0.0002003001,0.0003032797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152649,"about_ca_system_score_gemma":0.0001198497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007571557,"about_ca_topic_score_gemma":0.009060378,"domain_scores_codex":[0.9998686,0.00002150983,0.00001147179,0.00004604676,0.00002987891,0.0000224716],"domain_scores_gemma":[0.9997056,0.00005164538,0.0001119125,0.00001278137,0.00005764085,0.00006035597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001940588,0.0003583024,0.5439128,0.0006143629,0.00008327313,0.002915022,0.0008689417,0.0002876752,0.3735538,0.0003976962,0.0007009651,0.07436667],"study_design_scores_gemma":[0.000002297025,0.0003746856,0.9912084,0.00002572118,0.00001370304,0.001448201,0.0002470577,0.0000908255,0.00548998,0.00007699613,0.001017438,0.000004616851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989755,0.007070714,0.0003803479,0.00006440346,0.00002187121,0.00001068218,0.0001709225,0.000009129903,0.002517073],"genre_scores_gemma":[0.9951465,0.002204754,0.0003505426,0.00003058753,0.00001618936,0.000004702072,0.0001770438,0.000003959832,0.002065857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007571557,"threshold_uncertainty_score":0.01505494,"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."}}