{"id":"W4406090249","doi":"10.1139/facets-2023-0139","title":"Identifying indigenous knowledge components for <i>Whudzih</i> (Caribou) recovery planning","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Indigenous; Geography; Environmental planning; Environmental science; Environmental resource management; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.007118597,0.0002526587,0.0002456961,0.00238143,0.01210513,0.004575907,0.001274945,0.0007976901,0.003208396],"category_scores_gemma":[0.01025829,0.0003189922,0.0002061947,0.002253728,0.004935802,0.001713629,0.006354161,0.001220897,0.0002542914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01964136,"about_ca_system_score_gemma":0.08097861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6178222,"about_ca_topic_score_gemma":0.828175,"domain_scores_codex":[0.9967518,0.001274824,0.0001838605,0.000177261,0.0006052651,0.001007048],"domain_scores_gemma":[0.9935169,0.002351801,0.0008933178,0.0002891614,0.001607784,0.00134098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000250423,0.00009746265,0.05333518,0.0003941734,0.000007700029,0.0008468013,0.8924566,0.00007850479,0.0009788087,0.002797469,0.001260907,0.04772136],"study_design_scores_gemma":[0.000003055131,0.00002461709,0.02351294,0.0003418234,0.000009012234,0.0001029202,0.9654146,0.0001080863,0.0002384884,0.0006179952,0.0096131,0.00001339276],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634759,0.0007224621,0.002715097,0.004791544,0.00003181669,0.0006901646,0.00009104866,0.00002515978,0.02745684],"genre_scores_gemma":[0.9894921,0.0008900426,0.005336033,0.0004404144,0.00000826669,0.0002618106,0.00006609641,0.000006420225,0.003498857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6178222,"threshold_uncertainty_score":0.7688571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087965655355993,"score_gpt":0.4530789707097698,"score_spread":0.3442824051741705,"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."}}