{"id":"W6988077069","doi":"","title":"Welfare Mines : Extraction and Development in Postwar Northern Canada","year":2024,"lang":"en","type":"other","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Frontier; Politics; Welfare; Hegemony; Human welfare; Position (finance); Natural resource; State (computer science)","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":[0.00125979,0.0002776686,0.0004008317,0.003166301,0.02067609,0.00612719,0.001666974,0.0009068936,0.003070184],"category_scores_gemma":[0.003340731,0.0002808727,0.0002541949,0.009999573,0.007348173,0.001437755,0.003868834,0.001580629,0.0001419139],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2386134,"about_ca_system_score_gemma":0.2317718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986048,"about_ca_topic_score_gemma":0.9996256,"domain_scores_codex":[0.9981592,0.0001294034,0.00003611275,0.0001313066,0.0004514461,0.001092511],"domain_scores_gemma":[0.9977259,0.0004135547,0.0002316192,0.00009139106,0.0009839534,0.0005535845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003196308,0.0001825103,0.2611429,0.0006269352,0.00009997661,0.005125396,0.4440635,0.002531219,0.001303655,0.1230227,0.02290213,0.1386793],"study_design_scores_gemma":[0.00001232891,0.00003864157,0.403947,0.0005220947,0.00004352949,0.0004468948,0.4364914,0.0009385442,0.0008537482,0.004251527,0.1523488,0.0001055731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338452,0.005561466,0.0003010802,0.006634051,0.00004948086,0.00004924782,0.001215377,0.0000203059,0.05232381],"genre_scores_gemma":[0.98085,0.004277723,0.0003460552,0.000445195,0.000008329483,0.00001961797,0.0003807639,0.0000141814,0.01365816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2386134,"threshold_uncertainty_score":0.8831006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479758579384944,"score_gpt":0.2550866155801128,"score_spread":0.2402890297862634,"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."}}