{"id":"W4229797038","doi":"10.1215/07402775-4373698","title":"The Big Question","year":2017,"lang":"en","type":"article","venue":"World Policy Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Indigenous; Politics; Government (linguistics); Citation; Media studies; Political science; History; Genealogy; Sociology; Law","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":[0.003887618,0.0007654378,0.0006892949,0.000908433,0.008088231,0.01124451,0.00180873,0.009897993,0.1951925],"category_scores_gemma":[0.01593747,0.0003461983,0.0005564067,0.001022828,0.007379278,0.01709907,0.007066655,0.01667896,0.07014323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004389585,"about_ca_system_score_gemma":0.006207381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011095,"about_ca_topic_score_gemma":0.01251121,"domain_scores_codex":[0.996954,0.001053094,0.000093715,0.0005020139,0.0007710275,0.000626124],"domain_scores_gemma":[0.9941087,0.001042558,0.0001681679,0.000410217,0.001622319,0.002648006],"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":[0.00000631378,0.000009615622,0.0002202103,0.00002777605,0.000002288509,0.0000578433,0.0004992973,0.00000783727,0.00002100293,0.02351868,0.9609706,0.01465857],"study_design_scores_gemma":[0.00000356892,0.000004143692,0.0001397516,0.0001162813,0.000001406718,0.0001376966,0.002341567,0.0000119191,0.00001246205,0.01103376,0.9861913,0.000006181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007257287,0.005260354,0.000665193,0.8821698,0.02219639,0.00002574964,0.0004507246,0.0001628909,0.0883432],"genre_scores_gemma":[0.02641342,0.008234451,0.001232775,0.6898052,0.01653874,0.0001213184,0.0008517285,0.0004401869,0.2563622],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1951925,"threshold_uncertainty_score":0.6529838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04795423422552845,"score_gpt":0.4074576411678346,"score_spread":0.3595034069423061,"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."}}