{"id":"W7036691399","doi":"","title":"Climate change driving Indigenous food insecurity in Canada: report","year":2020,"lang":"en","type":"other","venue":"","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Food security; Indigenous; Food insecurity; Government (linguistics); Food processing; Poverty","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":[0.0007341246,0.0006534147,0.0003576386,0.002019472,0.001913895,0.001707716,0.0009715007,0.000813009,0.01098663],"category_scores_gemma":[0.002049936,0.0002878766,0.0009286525,0.005260715,0.0003521085,0.0005601755,0.001569222,0.001123287,0.001212392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03718775,"about_ca_system_score_gemma":0.1576402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988489,"about_ca_topic_score_gemma":0.9991753,"domain_scores_codex":[0.9992816,0.00002178168,0.00003257883,0.00004057251,0.0003353286,0.0002882846],"domain_scores_gemma":[0.9964069,0.00007298583,0.0001780367,0.00004461215,0.002458963,0.0008384798],"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":[0.0002300158,0.0001671472,0.2607026,0.001374994,0.0003854519,0.0003125935,0.001059027,0.002084146,0.0003766522,0.002774892,0.6792519,0.05128062],"study_design_scores_gemma":[0.00004405019,0.00003154815,0.8462346,0.0005276843,0.0001759064,0.0000756826,0.003780572,0.001206012,0.000434939,0.0002680757,0.1471545,0.00006655637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1255057,0.008870517,0.0006691442,0.01657119,0.000934762,0.0005211618,0.7955418,0.0004243273,0.05096134],"genre_scores_gemma":[0.4387513,0.03112214,0.0041208,0.005106629,0.0004228172,0.0007001205,0.3360197,0.0002477207,0.1835089],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03718775,"threshold_uncertainty_score":0.2698172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022827670054802,"score_gpt":0.2091000690915226,"score_spread":0.1788717923909745,"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."}}