{"id":"W4298324944","doi":"","title":"Reconsidering acquisition and allocation in animal nutrition models to better understand efficiency","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","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":[0.003573938,0.001093864,0.00142441,0.0007985408,0.0005010389,0.002143185,0.001764345,0.001595198,0.003831806],"category_scores_gemma":[0.003823111,0.0004357919,0.0009662662,0.0006493816,0.002252463,0.005492631,0.001976,0.003854699,0.0009172445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344223,"about_ca_system_score_gemma":0.001035448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825085,"about_ca_topic_score_gemma":0.002729598,"domain_scores_codex":[0.9985316,0.0004782645,0.0001414823,0.0003966295,0.0003279168,0.0001240338],"domain_scores_gemma":[0.9970595,0.0009027667,0.0005354531,0.0008947428,0.0003497183,0.0002578196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002089805,0.0009245003,0.01661528,0.001650703,0.0005153819,0.0004242012,0.0009059897,0.01342843,0.7026551,0.1348862,0.007918685,0.1179858],"study_design_scores_gemma":[0.0003836454,0.003179671,0.05946945,0.001084266,0.0009197989,0.001218532,0.001423626,0.07343636,0.2650394,0.446445,0.1468578,0.0005425033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5113842,0.02013774,0.4204663,0.01606565,0.001690448,0.0003592013,0.003704633,0.0009934389,0.02519829],"genre_scores_gemma":[0.7549516,0.009490278,0.2119866,0.004551926,0.0003922903,0.00128438,0.00249383,0.001280732,0.01356836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003831806,"threshold_uncertainty_score":0.01890105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06209902231458683,"score_gpt":0.2334815732331915,"score_spread":0.1713825509186047,"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."}}