{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008370281,0.0002700203,0.0002234735,0.001101522,0.002004468,0.001354582,0.0007077095,0.0002530804,0.001964684],"category_scores_gemma":[0.0009118106,0.0001963413,0.000467887,0.002490702,0.00073183,0.0003890663,0.0006714755,0.0002515614,0.0001256932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04361764,"about_ca_system_score_gemma":0.02619326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9713539,"about_ca_topic_score_gemma":0.9910197,"domain_scores_codex":[0.9996052,0.00008315009,0.0000125411,0.00005122856,0.0001730239,0.00007484097],"domain_scores_gemma":[0.9994885,0.00006482244,0.00008519653,0.00002652657,0.0002734849,0.0000615586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003290913,0.0002397643,0.805878,0.0003917833,0.00024576,0.0004613716,0.01451438,0.01522235,0.005349229,0.01181484,0.006568125,0.1389853],"study_design_scores_gemma":[0.0000120061,0.0001413697,0.9379895,0.00008588336,0.00006124604,0.00005949698,0.01145305,0.01306236,0.001277172,0.0031157,0.03268866,0.00005345685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339094,0.0009982339,0.01041413,0.001429358,0.00001661589,0.0006620495,0.006094257,0.00005041523,0.0464256],"genre_scores_gemma":[0.9629259,0.001147916,0.02043216,0.0001313658,0.000004076014,0.000274244,0.002029447,0.0000210547,0.01303376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04361764,"threshold_uncertainty_score":0.3164696,"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."}}