{"id":"W4296748494","doi":"10.1016/j.anscip.2022.07.421","title":"30. Modelling nutrition and management in swine production systems to reduce their environmental impacts: a life cycle perspective","year":2022,"lang":"en","type":"article","venue":"Animal - science proceedings","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Agence Nationale de la Recherche","keywords":"Perspective (graphical); Production (economics); Life-cycle assessment; Environmental resource management; Business; Environmental science; Environmental planning; Computer science; Economics","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":[0.001626712,0.0007900526,0.0007285401,0.0004132401,0.0005334345,0.001389853,0.001249223,0.001856145,0.007607061],"category_scores_gemma":[0.002986057,0.0004026784,0.001061029,0.0004288535,0.0007041965,0.001582826,0.0007816365,0.0007283065,0.0005135589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220944,"about_ca_system_score_gemma":0.002607025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03646497,"about_ca_topic_score_gemma":0.02768032,"domain_scores_codex":[0.9995747,0.0002407157,0.00001492307,0.00005516239,0.00004610669,0.0000684066],"domain_scores_gemma":[0.9991413,0.0004905586,0.00008736224,0.00002894767,0.0001485007,0.0001032703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004487142,0.00007141469,0.002664941,0.00008126373,0.00005704714,0.0001343308,0.0000462532,0.9732835,0.0009556064,0.0149158,0.001385284,0.006359613],"study_design_scores_gemma":[0.00001945123,0.0001547138,0.002477783,0.00006524521,0.00006761945,0.00005447357,0.000168868,0.9684497,0.0006475103,0.02190822,0.00595551,0.00003076527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4178829,0.004730854,0.4089523,0.01409267,0.0007937736,0.000313244,0.003388705,0.0003930534,0.1494527],"genre_scores_gemma":[0.960758,0.001807741,0.02097052,0.0005609243,0.00006634746,0.0001360336,0.0004731655,0.0001069573,0.01512028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646497,"threshold_uncertainty_score":0.07250541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408392355181795,"score_gpt":0.2352004135611996,"score_spread":0.2111164900093817,"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."}}