{"id":"W7065941894","doi":"","title":"Feature Story: The Conversation: What Canada knows about food crises can help prevent shortages and protect workers during coronavirus","year":2020,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic shortage; Pandemic; Food supply; Coronavirus disease 2019 (COVID-19); Productivity; Intervention (counseling); 2019-20 coronavirus outbreak","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":[0.001133441,0.0005408126,0.0003101788,0.0005941383,0.02574031,0.006213341,0.001398341,0.008433946,0.0458654],"category_scores_gemma":[0.004762567,0.0002980497,0.000459575,0.0008504749,0.003964452,0.003035401,0.002397878,0.01188037,0.006700238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03211692,"about_ca_system_score_gemma":0.04603334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9374126,"about_ca_topic_score_gemma":0.9669381,"domain_scores_codex":[0.9985086,0.0001455172,0.0000179758,0.00009763822,0.0004629353,0.0007673358],"domain_scores_gemma":[0.9969631,0.0004021391,0.00007429913,0.00006341313,0.001061105,0.001435946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001343542,0.00001068533,0.0004567787,0.00001815535,0.000001734547,0.0002957362,0.004423156,0.00002112806,0.0001584522,0.002636036,0.9859138,0.006051076],"study_design_scores_gemma":[0.000005291853,0.000007822641,0.00111685,0.00005723443,0.000004769406,0.0001823005,0.01651247,0.00007009634,0.0001588099,0.0005549116,0.9813052,0.0000241343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006176583,0.002256999,0.000408544,0.8193073,0.009641964,0.00004961554,0.001000701,0.0002571423,0.1609011],"genre_scores_gemma":[0.07719313,0.003184032,0.0006174109,0.4657825,0.002643084,0.00006036531,0.0005187897,0.0003746213,0.449626],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06258744,"threshold_uncertainty_score":0.2330257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079614236425074,"score_gpt":0.1767659272236697,"score_spread":0.165969784859419,"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."}}