{"id":"W3112291549","doi":"10.23865/arctic.v11.2431","title":"Sámi Law: A Methodological Approach","year":2020,"lang":"en","type":"article","venue":"Arctic review on law and politics","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Law; Premise; Scope (computer science); Political science; Comparative law; Economic Justice; Commercial law; Sociology; Computer science; Epistemology; Philosophy","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":[0.02174932,0.0008817263,0.0008865302,0.01230913,0.009360916,0.01110376,0.003275146,0.003258699,0.002999555],"category_scores_gemma":[0.01315832,0.0005846973,0.0007461449,0.01359397,0.03277164,0.007697868,0.00550337,0.004777174,0.0005753184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0260539,"about_ca_system_score_gemma":0.0278678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03467216,"about_ca_topic_score_gemma":0.04593336,"domain_scores_codex":[0.9850729,0.01157382,0.0005278417,0.0009965637,0.00126705,0.0005618085],"domain_scores_gemma":[0.9881213,0.008527443,0.0008341682,0.0005559592,0.001492753,0.0004682849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000336484,0.00001533173,0.0003327643,0.0002780103,0.000005674878,0.00007120291,0.01173092,0.0001226971,0.00005930646,0.9807898,0.001678318,0.004912582],"study_design_scores_gemma":[0.00002024977,0.00005130097,0.001494489,0.003059932,0.00003407297,0.0003423313,0.07204328,0.001436806,0.0003973007,0.5887512,0.3323384,0.00003065337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04432112,0.1091989,0.2579484,0.1405758,0.003398949,0.003435116,0.001801484,0.0001618886,0.4391584],"genre_scores_gemma":[0.6714528,0.05974391,0.2193417,0.01397231,0.001572342,0.008181978,0.0006409885,0.0001177882,0.02497603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03467216,"threshold_uncertainty_score":0.1890351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2585948405630685,"score_gpt":0.4215881804262709,"score_spread":0.1629933398632024,"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."}}