{"id":"W7000591852","doi":"","title":"Grocery retailers are benefiting from food subsidies in Northern Canada","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Subsidy; Clothing; Food supply; Government (linguistics)","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":[0.0003739289,0.0001552647,0.0003116739,0.000817835,0.004985254,0.002707265,0.0008173889,0.0009894911,0.02393918],"category_scores_gemma":[0.00138492,0.0002715598,0.0003460137,0.002868234,0.001088201,0.0007579922,0.0009893276,0.0009151532,0.001267415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04671852,"about_ca_system_score_gemma":0.09131669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978074,"about_ca_topic_score_gemma":0.9995052,"domain_scores_codex":[0.9990522,0.00003270127,0.0000157415,0.00005259551,0.0002510175,0.0005957487],"domain_scores_gemma":[0.9980447,0.0001519362,0.0001506038,0.0000321125,0.0006855245,0.0009350602],"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":[0.0005542594,0.0002206504,0.3411807,0.001020245,0.00008973302,0.001801456,0.007711804,0.00126795,0.002118254,0.01377478,0.4487334,0.1815269],"study_design_scores_gemma":[0.00007239516,0.00004840514,0.7481208,0.0004534205,0.00006711408,0.0002378936,0.02740448,0.0007776691,0.0003443518,0.0008732261,0.2215166,0.0000836917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6454895,0.01088127,0.0002846428,0.06580265,0.0003513388,0.0001440329,0.01117443,0.0002409731,0.2656312],"genre_scores_gemma":[0.8109451,0.009369602,0.0005852306,0.007534181,0.00005470236,0.00004203718,0.002918931,0.00007192609,0.1684783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04671852,"threshold_uncertainty_score":0.3389682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008187288399488554,"score_gpt":0.1673155116843638,"score_spread":0.1591282232848753,"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."}}