{"id":"W6950331135","doi":"10.5683/sp3/soe0nm","title":"Replication Data and Code for: Traditional Indigenous foodways and retail subsidies: Evidence from the Northwest Territories Community Survey and Nutrition North Canada","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Indigenous; Foodways; Code (set theory); Replication (statistics); Replicate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001917036,0.0004668862,0.0005707226,0.00008963324,0.001618666,0.0003546142,0.00172225,0.0002547621,0.0000023089],"category_scores_gemma":[0.003566917,0.0004154098,0.00002559709,0.0002521834,0.000545898,0.000502221,0.0006334938,0.0007223586,9.149239e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003137238,"about_ca_system_score_gemma":0.001481375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989177,"about_ca_topic_score_gemma":0.999993,"domain_scores_codex":[0.9965058,0.001109203,0.0005757118,0.0009384816,0.0005387376,0.000332085],"domain_scores_gemma":[0.9872895,0.007135124,0.0005098989,0.00451913,0.0003824545,0.0001638566],"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":[0.0002265105,0.00008284365,0.07593992,0.0003837883,0.0001668482,0.000003519058,0.0004009058,2.05103e-7,0.000001042832,0.000003340635,0.9225486,0.0002424955],"study_design_scores_gemma":[0.0003074027,0.00007358108,0.4491823,0.0003201565,0.0002230277,0.00001134907,0.0002078906,0.00001600087,0.00000267646,0.00008989783,0.5493157,0.00025001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03119341,0.004483806,0.000007617411,0.0003243124,0.0001011181,0.001428414,0.9624221,0.00003771384,0.000001492778],"genre_scores_gemma":[0.004097813,0.007291254,0.00008173414,0.0001801288,0.0002805643,0.0003435845,0.9876893,0.00003345867,0.00000213601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3732424,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542474952607428,"score_gpt":0.2988921118587248,"score_spread":0.144644616597982,"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."}}