{"id":"W3175159281","doi":"10.3390/agronomy11061229","title":"Canadian Greenhouse Operations and Their Potential to Enhance Domestic Food Security","year":2021,"lang":"en","type":"article","venue":"Agronomy","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Food security; Business; Arable land; Natural resource economics; Population; Agriculture; Greenhouse gas; Commodity; Food systems; Food processing; Agricultural economics; Economics; International trade; Geography; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001309278,0.0005093558,0.0003233927,0.0007094391,0.006975902,0.003824903,0.002241771,0.004040132,0.007973747],"category_scores_gemma":[0.004078574,0.000142273,0.0006319878,0.001346012,0.003344154,0.001820079,0.001376798,0.003505453,0.0006305964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04382348,"about_ca_system_score_gemma":0.0791114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9643057,"about_ca_topic_score_gemma":0.9876087,"domain_scores_codex":[0.9985832,0.0001718434,0.00004001692,0.0001373079,0.000636535,0.0004311987],"domain_scores_gemma":[0.9969069,0.0004546096,0.00009822086,0.00006900999,0.002158931,0.0003122849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004343559,0.00001124111,0.001928114,0.0005755502,0.00002225449,0.0008497512,0.003193958,0.0005260353,0.0008298854,0.07952746,0.8520936,0.06039857],"study_design_scores_gemma":[0.000002246775,0.000003471271,0.001150794,0.0002509822,0.00001131001,0.00005657844,0.001644235,0.00008841555,0.0001739952,0.002133769,0.9944651,0.00001920045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0103392,0.08666063,0.002337757,0.6357491,0.02154758,0.00007344209,0.001411264,0.0001807833,0.2417003],"genre_scores_gemma":[0.3271063,0.1812117,0.005507285,0.2735326,0.009150279,0.00009695118,0.0009834603,0.000252095,0.2021594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04382348,"threshold_uncertainty_score":0.3179631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005041066905366137,"score_gpt":0.1923109074756112,"score_spread":0.1872698405702451,"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."}}