{"id":"W4322771564","doi":"10.1016/j.jclepro.2023.136473","title":"An integrated environmental nutrition model for dietary sustainability assessment","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sustainability; Life-cycle assessment; Environmental impact assessment; Business; Environmental economics; Environmental science; Agricultural science; Production (economics); Economics; Biology","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":[0.0005302001,0.0006077312,0.0007023133,0.0007762256,0.0005417454,0.001336669,0.00164285,0.001573928,0.01068269],"category_scores_gemma":[0.001679758,0.0004073513,0.0009339249,0.0008339746,0.0004790747,0.001452314,0.001032218,0.0007807591,0.0010809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306472,"about_ca_system_score_gemma":0.001692581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03045288,"about_ca_topic_score_gemma":0.02204946,"domain_scores_codex":[0.9997498,0.0000795784,0.00001256617,0.00005907716,0.00005242754,0.00004657362],"domain_scores_gemma":[0.999587,0.0001764706,0.00003762289,0.00002964545,0.0001310924,0.00003811574],"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":[0.00002476121,0.0000641038,0.0009330513,0.00002655659,0.00004005729,0.00007414487,0.00003517875,0.9583009,0.0005617101,0.03170982,0.0007092654,0.007520405],"study_design_scores_gemma":[0.00001031396,0.00001397642,0.0002087517,0.000005761384,0.0000165278,0.00001796516,0.00001573065,0.9870613,0.00008617168,0.01135556,0.001201732,0.000006322853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039902,0.0003873855,0.81524,0.001293446,0.0001587009,0.0001431869,0.002074747,0.0006692247,0.07604299],"genre_scores_gemma":[0.8657907,0.0004218038,0.09868968,0.0002816073,0.00006980721,0.0003926615,0.0009400286,0.000184981,0.03322881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03045288,"threshold_uncertainty_score":0.06055123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426518728626326,"score_gpt":0.2875442405396347,"score_spread":0.2732790532533714,"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."}}