{"id":"W4387707748","doi":"","title":"First Nations, Municipalities, and Urban Reserves: Shifting Intergovernmental Power Balance in Urban Settings?","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance (ability); Power (physics); Environmental planning; Business; Political science; Geography; Psychology","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":[0.002590779,0.0001834049,0.0003542854,0.001334768,0.004792685,0.008290806,0.001169452,0.001258364,0.01667383],"category_scores_gemma":[0.006007108,0.0001940789,0.0001984769,0.00366781,0.007340902,0.005777706,0.005659063,0.00145072,0.0003712907],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007190438,"about_ca_system_score_gemma":0.008873682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09211404,"about_ca_topic_score_gemma":0.2664133,"domain_scores_codex":[0.9972014,0.00122983,0.00004675393,0.0001807899,0.0001871028,0.001154074],"domain_scores_gemma":[0.9970526,0.001024604,0.0003923436,0.0001728853,0.0002328337,0.001124725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002655075,0.000202326,0.1092065,0.0003898723,0.00009989363,0.0009393303,0.1744792,0.001135461,0.0004200668,0.6230949,0.0237525,0.06601452],"study_design_scores_gemma":[0.00003842373,0.00004403912,0.1657387,0.0006812614,0.00005377913,0.0001450318,0.6663956,0.0006596567,0.0002561151,0.07710207,0.08883853,0.00004670861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569542,0.003189053,0.0007976222,0.09055235,0.0002279388,0.00003646781,0.0003810391,0.00002299739,0.1478384],"genre_scores_gemma":[0.9965613,0.000505166,0.00007315179,0.0006098322,0.00003649048,0.00001201862,0.0000384188,0.00000772137,0.002155904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928095,"threshold_uncertainty_score":0.1831557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228489645001683,"score_gpt":0.2597141683885674,"score_spread":0.2474292719385506,"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."}}