{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005954232,0.0007162778,0.0008662731,0.00627129,0.006281235,0.005980707,0.002079831,0.0005376621,0.001624556],"category_scores_gemma":[0.0150871,0.0004040785,0.0008136111,0.009235116,0.003255625,0.001085199,0.004165819,0.0009203404,0.000185239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07072388,"about_ca_system_score_gemma":0.1122741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996061,"about_ca_topic_score_gemma":0.9976779,"domain_scores_codex":[0.9958656,0.001586635,0.0003479965,0.0005064396,0.0008488364,0.0008445632],"domain_scores_gemma":[0.9883339,0.002346906,0.0007537351,0.0005670344,0.007024,0.0009744341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749035,0.0001182694,0.8192859,0.001073381,0.0003532919,0.0008576601,0.04140887,0.007185062,0.0009015054,0.02733039,0.01142423,0.08988658],"study_design_scores_gemma":[0.00002843377,0.00005724383,0.8491211,0.002218393,0.0002411738,0.0001643269,0.08968235,0.01161963,0.0004590624,0.006333279,0.03991825,0.0001567511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8490317,0.009295479,0.0364654,0.01254665,0.0002372181,0.002524895,0.02056588,0.0001693834,0.06916321],"genre_scores_gemma":[0.9608763,0.001530574,0.03093036,0.0005751687,0.00001614245,0.0006068038,0.002838544,0.00002816814,0.002597868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07072388,"threshold_uncertainty_score":0.5131401,"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."}}