{"id":"W7098349206","doi":"","title":"Primary Audience: Nutritionists, Researchers, Manufacturers of Feather Meal DESCRIPTION OF PROBLEM","year":2016,"lang":"en","type":"article","venue":"","topic":"Arts, Culture, and Music Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feather; Feather meal; Meal; Energy density; Rendering (computer graphics); Meat and bone meal; Nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006051958,0.00006605468,0.0001483186,0.00004200373,0.0002614809,0.00001175039,0.0001527698,0.00006878858,0.0004716312],"category_scores_gemma":[0.000130787,0.00003889921,0.00005694128,0.0001480506,0.0009180463,0.0002017659,0.00004278835,0.00004274656,0.0000116028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109005,"about_ca_system_score_gemma":0.0001252486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389303,"about_ca_topic_score_gemma":0.001470671,"domain_scores_codex":[0.9988835,0.0001069548,0.0001729098,0.0001481276,0.0004609353,0.0002275745],"domain_scores_gemma":[0.9993989,0.00008166978,0.00008797313,0.0001008446,0.0002706186,0.00005996048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000271465,0.000607485,0.02129676,0.0003396855,0.0002358337,0.000004306606,0.1218859,8.136643e-7,0.06994728,0.2434083,0.4571187,0.08488347],"study_design_scores_gemma":[0.002190995,0.0004377158,0.07876603,0.0005038061,0.00006892733,0.000001652102,0.07529031,5.431882e-7,0.02948811,0.07134092,0.7413962,0.0005148044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1138891,0.0006206078,0.001006543,0.007164707,0.0001924414,0.0006037742,0.00001848343,0.00006850828,0.8764359],"genre_scores_gemma":[0.9592438,0.0009707703,0.002011901,0.0001128258,0.0001139167,0.00001864753,0.00000139438,0.00000512108,0.03752168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8453547,"threshold_uncertainty_score":0.5164031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08691049151057496,"score_gpt":0.3223519314160683,"score_spread":0.2354414399054933,"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."}}