{"id":"W3203970742","doi":"","title":"Sustainable Diets, Population Growth & Regional Food Production: A Case Study of Waterloo Region, Ontario","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Geography; Food processing; Population; Population growth; Regional science; Agricultural economics; Biology; Economics; Environmental health; Food science; Medicine","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":[0.0003344625,0.0002312711,0.0002359429,0.0005683199,0.006751768,0.001681804,0.0008843198,0.0006852063,0.003686812],"category_scores_gemma":[0.001010441,0.000291863,0.0003404727,0.002772886,0.001582375,0.0006950615,0.001106384,0.0005342988,0.0002139944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04417366,"about_ca_system_score_gemma":0.02511931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992614,"about_ca_topic_score_gemma":0.9987607,"domain_scores_codex":[0.9994813,0.00008472816,0.00001108264,0.0000455188,0.00009173862,0.0002856561],"domain_scores_gemma":[0.9994265,0.0001510994,0.00007978013,0.00002313439,0.0001394608,0.0001800114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004726472,0.0005182734,0.5784254,0.0006255846,0.0002294514,0.02559701,0.2785178,0.005667063,0.004778845,0.01647007,0.02341328,0.06528462],"study_design_scores_gemma":[0.00004263627,0.0001662351,0.5737027,0.0001441228,0.00008924388,0.0009569911,0.3635521,0.001543227,0.0006563599,0.0007871881,0.05831027,0.00004889368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794908,0.0002700437,0.0001312128,0.0008645367,0.000005726844,0.00006259492,0.0004757919,0.000007146781,0.01869212],"genre_scores_gemma":[0.9796658,0.0007373992,0.0004377282,0.0001697358,0.00000426013,0.00004037153,0.0002534147,0.00001069837,0.01868067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04417366,"threshold_uncertainty_score":0.3205038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185555149569232,"score_gpt":0.2210934597924157,"score_spread":0.2092379082967233,"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."}}