{"id":"W3186262844","doi":"10.21686/2413-2829-2021-4-169-179","title":"Land Tenure Planning in Order to Develop Territories of Traditional Natural Resource Use: Experience of Canada","year":2021,"lang":"en","type":"article","venue":"Vestnik of the Plekhanov Russian University of Economics","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural resource; Residence; Sustainable development; Land tenure; Arctic; Geography; Resource (disambiguation); Environmental planning; Land-use planning; Business; Economic growth; Population; Land use; Environmental resource management; Political science; Sociology; Economics; Agriculture; Civil engineering; Engineering; Ecology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009952953,0.00006436642,0.0002174684,0.00005201132,0.0001856822,0.000003666978,0.0002529444,0.00004429924,0.00002004716],"category_scores_gemma":[0.000324537,0.00006279362,0.00002879098,0.0004110479,0.0005348885,0.0001039438,0.0001190983,0.00007069168,7.646529e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371758,"about_ca_system_score_gemma":0.001640767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3137054,"about_ca_topic_score_gemma":0.7142724,"domain_scores_codex":[0.9994054,0.00006074137,0.0001781921,0.0001138721,0.00009699669,0.0001448185],"domain_scores_gemma":[0.9993775,0.0001648172,0.0001900546,0.0001224614,0.00009692361,0.00004824341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002242426,0.0001345229,0.560461,0.0001117474,0.000195088,0.00001947338,0.2635574,0.004073087,0.000164109,0.164268,0.006579451,0.0002118154],"study_design_scores_gemma":[0.0005286303,0.00003418281,0.8304675,0.0002552972,0.00002333479,0.00000292466,0.1248287,0.00007276521,0.001821577,0.0008278539,0.04092638,0.0002108381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882095,0.00004878479,0.00001048107,0.004743935,0.0001490829,0.0000642901,0.0001401351,0.000002165261,0.006631615],"genre_scores_gemma":[0.997593,0.00001927646,0.001305051,0.00005732094,0.00002882305,1.207086e-7,0.000003887695,0.00000307211,0.0009894472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.400567,"threshold_uncertainty_score":0.6908647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920230005864434,"score_gpt":0.2253602702474056,"score_spread":0.1961579701887613,"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."}}