{"id":"W1545374761","doi":"10.1177/117718011401000403","title":"Lessons for Collaboration Involving Traditional Knowledge and Environmental Governance in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"AlterNative An International Journal of Indigenous Peoples","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Indigenous; Scope (computer science); Corporate governance; Government (linguistics); Traditional knowledge; Sustainability; Exploit; Political science; Project commissioning; Public relations; Environmental governance; Public administration; Economic growth; Business; Publishing; Economics; Ecology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007611637,0.0002914045,0.0004788114,0.001120958,0.04143577,0.009604475,0.002221048,0.00243333,0.007083844],"category_scores_gemma":[0.008146857,0.0004430328,0.0004150061,0.003991666,0.01171629,0.003426787,0.008973344,0.002718152,0.0003378945],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1909189,"about_ca_system_score_gemma":0.5280368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949762,"about_ca_topic_score_gemma":0.9986519,"domain_scores_codex":[0.9901617,0.003165029,0.0003326992,0.0006031637,0.00184367,0.003893835],"domain_scores_gemma":[0.9860097,0.002563307,0.000719899,0.0004192639,0.002622508,0.007665236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000276095,0.0002653521,0.04555709,0.001279245,0.00007710921,0.007100447,0.6765426,0.001265031,0.001677379,0.1017746,0.06642767,0.09775739],"study_design_scores_gemma":[0.00004804105,0.00007958012,0.03766087,0.000855031,0.00003445646,0.0004558121,0.6527362,0.0004699843,0.0002769044,0.008200973,0.2991008,0.00008131059],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5106812,0.01329976,0.003173556,0.2527215,0.0009264713,0.0008483717,0.0005366791,0.000115296,0.2176972],"genre_scores_gemma":[0.9403097,0.005874368,0.004467985,0.005986093,0.00006285072,0.0002154791,0.0001249246,0.0000430258,0.04291549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1909189,"threshold_uncertainty_score":0.9384194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890311056032107,"score_gpt":0.3356240216528906,"score_spread":0.2967209110925695,"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."}}