{"id":"W4386895561","doi":"10.3390/foods12183492","title":"Unraveling Elusive Boundaries: A Comprehensive Framework for Assessing Local Food Consumption Patterns in Nova Scotia, Canada","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval; Dalhousie University","funders":"","keywords":"Nova scotia; Nova (rocket); Consumption (sociology); Benchmark (surveying); Food consumption; Food systems; Geography; Regional science; Agricultural economics; Food security; Economics; Sociology; Engineering; Cartography; Social science; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008874042,0.0001700532,0.0002184131,0.00001529167,0.0002802075,0.0002078456,0.0001746095,0.0001613055,0.0001325285],"category_scores_gemma":[0.00007370618,0.00007242992,0.00006346832,0.0004912986,0.00006300193,0.0001039165,0.00007529525,0.0002187574,0.00001956984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146427,"about_ca_system_score_gemma":0.00009465399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09751077,"about_ca_topic_score_gemma":0.8614887,"domain_scores_codex":[0.9987665,0.00004298194,0.0002310022,0.0003208194,0.0002161562,0.0004225268],"domain_scores_gemma":[0.999266,0.0004276407,0.00008518589,0.00004803517,0.00008832204,0.0000848221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004238752,0.0007200466,0.3742215,0.001460823,0.0006675468,0.0003250886,0.006263704,0.002267057,0.2359422,0.01860954,0.07355739,0.2855413],"study_design_scores_gemma":[0.0005783475,0.0006488381,0.9368938,0.0005940014,0.00002922813,0.0000164121,0.01267704,0.0007446701,0.005763157,0.002967378,0.03836009,0.0007270032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994083,0.00013274,0.0007646034,0.003611829,0.0007168962,0.0003116756,0.0002784644,0.00007992806,0.00002079583],"genre_scores_gemma":[0.9985831,0.000008270226,0.0002189239,0.0005146251,0.0003832387,0.00001115326,0.0002553219,0.000002138052,0.00002316237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7639779,"threshold_uncertainty_score":0.908499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014972755912234,"score_gpt":0.270014905708544,"score_spread":0.2298651781494217,"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."}}