{"id":"W3161831552","doi":"10.31234/osf.io/q6unz","title":"Alternative protein sources for laying hens","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Soybean meal; Rapeseed; Ingredient; Agricultural science; Business; Meal; Biotechnology; Biology; Food science; Raw material; Ecology","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":[0.00005126264,0.00012212,0.0001470638,0.000003511641,0.0001308696,0.00007570783,0.0002940169,0.00008731922,0.0001885348],"category_scores_gemma":[0.00002258243,0.00003920976,0.0001178476,0.00006116269,0.00001965779,0.00002589606,0.0002695419,0.0001384,0.00004051233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001034775,"about_ca_system_score_gemma":0.000007805365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003642607,"about_ca_topic_score_gemma":0.00005422148,"domain_scores_codex":[0.9992864,0.00001457423,0.0001307768,0.0003415032,0.00008697042,0.0001397817],"domain_scores_gemma":[0.9996806,0.00006700739,0.00008902491,0.00004481129,0.00005091416,0.00006760604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003920875,0.0001609892,0.0004629592,0.00009448531,0.0001208202,0.00000151284,0.0003437612,0.00005587529,0.8700255,0.04583303,0.012803,0.07005893],"study_design_scores_gemma":[0.0001897311,0.0003029229,0.003235824,0.0001214444,0.00005179442,9.254682e-7,0.001246249,0.001461399,0.09256542,0.4127403,0.4872395,0.0008445702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969772,0.0001015911,0.00127699,0.01906481,0.00007084785,0.001796166,0.0006585818,0.0001769943,0.007081958],"genre_scores_gemma":[0.9952012,0.00001309645,0.001156094,0.0008500689,0.0008369651,0.0007447826,0.000424866,8.524702e-7,0.0007721291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.77746,"threshold_uncertainty_score":0.2064324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07662485848369444,"score_gpt":0.2728883387809669,"score_spread":0.1962634802972724,"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."}}