{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006825213,0.0001003807,0.0001063301,0.000006453759,0.0002687945,0.0001075544,0.00009624056,0.00005504356,0.0002733849],"category_scores_gemma":[0.00003055486,0.00003645759,0.00004281017,0.0002166362,0.00002326979,0.00009936563,0.00005611184,0.00007507448,0.00002072629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006515037,"about_ca_system_score_gemma":0.00006027136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03649862,"about_ca_topic_score_gemma":0.7544107,"domain_scores_codex":[0.9992825,0.00005071577,0.0001008716,0.0002744159,0.00004773236,0.0002437812],"domain_scores_gemma":[0.999498,0.00003693948,0.000009294011,0.00005769195,0.0001104559,0.0002876498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001120321,0.001468849,0.1313595,0.0001253158,0.0005253386,0.0005344913,0.0201306,0.0004349702,0.2068254,0.02254839,0.09600182,0.5199332],"study_design_scores_gemma":[0.0001836903,0.000617071,0.6416811,0.00002225647,0.00003575008,0.00009959872,0.006920428,0.00006905798,0.01191975,0.007367434,0.3302305,0.0008533886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912473,0.000309692,0.00001927617,0.007269237,0.00004566997,0.000178465,0.00005007706,0.00002477755,0.0008555288],"genre_scores_gemma":[0.9983116,0.000008053538,0.00007141402,0.0006873355,0.0001380594,0.00002348353,0.00005133565,4.941489e-7,0.0007082119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7179121,"threshold_uncertainty_score":0.9699174,"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."}}