{"id":"W7055118434","doi":"","title":"Carbon Footprinting Dietary Choices in Ontario: A life cycle approach to assessing sustainable, healthy & socially acceptable diets","year":2015,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Life-cycle assessment; Population; Greenhouse gas; Food group; Consumption (sociology); Environmental impact assessment; Dietary fiber; Environmental quality; Distribution (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002639933,0.000283237,0.0004950074,0.0003636002,0.0001838876,0.00007535682,0.0004023684,0.0003046688,0.00002054187],"category_scores_gemma":[0.00001803391,0.0003720507,0.00009732781,0.0004185154,0.00002455039,0.0003297283,0.00008621257,0.0004888413,0.000008876291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410282,"about_ca_system_score_gemma":0.0006097042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7258492,"about_ca_topic_score_gemma":0.837289,"domain_scores_codex":[0.9985585,0.00004481112,0.0002003033,0.0003892112,0.0002804296,0.0005268059],"domain_scores_gemma":[0.9991232,0.00002660002,0.0001308796,0.0003051639,0.0001708356,0.0002433104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005572346,0.0009609244,0.02655599,0.006649439,0.0006518835,0.00006266971,0.8255838,0.1171659,0.004896428,0.0007538224,0.009795529,0.006366342],"study_design_scores_gemma":[0.002395638,0.000149415,0.3117826,0.0005757275,0.0003631382,0.000002151183,0.6580516,0.01136797,0.0002126644,0.001348485,0.011616,0.002134635],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754072,0.0001106878,0.00006534551,0.0001586,0.0001239198,0.0005682282,0.000004137703,0.0001604881,0.02340135],"genre_scores_gemma":[0.6781462,0.00003889127,0.01114528,0.00003017213,0.00008073075,0.00001286758,0.0005545313,0.00009563289,0.3098956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.297261,"threshold_uncertainty_score":0.9998732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294665342240284,"score_gpt":0.2346683014230517,"score_spread":0.2117216480006489,"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."}}