{"id":"W7095493284","doi":"","title":"APPENDIX “C” Anishinabek Perspectives on Resolving Rights Based Issues and Land Claims in Ontario","year":2005,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treaty; Negotiation; Government (linguistics); Land rights; European union; Statement (logic)","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":[0.001044787,0.0003848944,0.0002688491,0.001585381,0.008399491,0.002800119,0.0009449761,0.001406791,0.07420149],"category_scores_gemma":[0.004902197,0.0001707436,0.000251781,0.003944618,0.002572544,0.001478567,0.001320464,0.001595161,0.004743068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03488568,"about_ca_system_score_gemma":0.02442653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7518842,"about_ca_topic_score_gemma":0.8866792,"domain_scores_codex":[0.9987944,0.0002840095,0.00008218694,0.00007951911,0.0005516384,0.0002081773],"domain_scores_gemma":[0.9951317,0.002078653,0.0002456617,0.0001427419,0.001869048,0.0005322613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000402866,0.00003275558,0.002060904,0.0005564239,0.000003007359,0.0009872749,0.04406251,0.0002192304,0.0005071032,0.06883274,0.8667642,0.01593348],"study_design_scores_gemma":[0.000004457654,0.000005290279,0.005286971,0.0002765493,0.000002187535,0.0001056787,0.0180585,0.00006965447,0.0001288358,0.001952499,0.9740951,0.00001429075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0247466,0.00739413,0.002328447,0.1067044,0.005641364,0.0009383591,0.01336584,0.000114534,0.8387663],"genre_scores_gemma":[0.1546604,0.01388916,0.003814754,0.01174561,0.001715813,0.0005886366,0.004281132,0.0001388055,0.8091655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2481158,"threshold_uncertainty_score":0.499154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470065298612367,"score_gpt":0.2831643711118995,"score_spread":0.2684637181257759,"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."}}