{"id":"W2041362690","doi":"10.1353/cpr.2014.0007","title":"Reconciling Traditional Knowledge, Food Security, and Climate Change: Experience From Old Crow, YT, Canada","year":2014,"lang":"en","type":"article","venue":"Progress in community health partnerships","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustenance; Food security; Adaptation (eye); Agriculture; Government (linguistics); Food systems; Political science; Economic growth; Environmental resource management; Climate change; Geography; Environmental planning; Business; Economics; Psychology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004013862,0.0002536076,0.0005934795,0.00008758267,0.008161386,0.00001686419,0.0004038141,0.0002324316,0.00008266589],"category_scores_gemma":[0.0003050914,0.0002582667,0.00003181584,0.0002062987,0.0002599319,0.0001303562,0.0005892142,0.002271347,0.00001593473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002004,"about_ca_system_score_gemma":0.001116159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5284305,"about_ca_topic_score_gemma":0.9972811,"domain_scores_codex":[0.9924976,0.00443222,0.0007898425,0.0003174048,0.0002095667,0.001753379],"domain_scores_gemma":[0.9956395,0.002963393,0.0003462792,0.0005249455,0.0001694903,0.0003563715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006438853,0.000217018,0.6874813,0.0009111098,0.00001560464,0.000002064452,0.2995487,2.55642e-7,6.841337e-8,0.006629032,0.0008230806,0.004307295],"study_design_scores_gemma":[0.004136655,0.00192187,0.5678347,0.002204115,0.00002384107,0.00001013417,0.3129304,0.001749813,0.000006866587,0.007916764,0.1002257,0.001039122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817116,0.005466077,0.00000256062,0.006220377,0.001105076,0.001238897,0.0001765386,0.00007821676,0.004000643],"genre_scores_gemma":[0.9915873,0.0008038793,0.0001924514,0.005454907,0.0005263737,0.001278187,0.0001145577,0.00002929952,0.00001304307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4688505,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2864942944671173,"score_gpt":0.4360496445005861,"score_spread":0.1495553500334688,"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."}}