{"id":"W2259092105","doi":"","title":"Inter-Tribal and International Treaties for American Indian Economic Development","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treaty; Indigenous; Political science; Economic growth; Geography; Development economics; Law; Economics","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":[0.005839725,0.0007986637,0.0004895427,0.001908498,0.01227698,0.01144679,0.002224921,0.006569918,0.0171389],"category_scores_gemma":[0.008045101,0.0004753719,0.001057184,0.003745474,0.005164236,0.003008468,0.004432942,0.01259308,0.003690071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007951283,"about_ca_system_score_gemma":0.02000213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1053486,"about_ca_topic_score_gemma":0.1254577,"domain_scores_codex":[0.9926999,0.001633619,0.0004471609,0.0005295785,0.002720061,0.001969688],"domain_scores_gemma":[0.9967273,0.001178534,0.0003354691,0.0004680202,0.0009047931,0.0003858717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001892712,0.00005464302,0.0005256126,0.00005794561,0.00001038766,0.0001508263,0.002079096,0.0001178624,0.0002324057,0.8745707,0.1104526,0.01172892],"study_design_scores_gemma":[0.00001238225,0.00001560625,0.002555601,0.0001690169,0.00002190634,0.0000873711,0.001094987,0.0001324404,0.0001525649,0.01648217,0.9792383,0.00003765996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003827372,0.005004337,0.001478923,0.03133743,0.002435655,0.0001539232,0.0003737848,0.00007181543,0.9553168],"genre_scores_gemma":[0.1767523,0.01279829,0.009395615,0.07168407,0.002993714,0.001524937,0.0009751742,0.0002589946,0.723617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1053486,"threshold_uncertainty_score":0.2094708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934825505437325,"score_gpt":0.3046827140098686,"score_spread":0.2853344589554953,"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."}}