{"id":"W2991838739","doi":"10.3138/cart.54.4.2019-0002","title":"Human Geography, Indigenous Mapping, and the US Military: A Response to Kelly and Others’ “From Cognitive Maps to Transparent Static Web Maps”","year":2019,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Compromise; Sociology; Power (physics); Military personnel; Political science; Social science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03402559,0.0008818129,0.001099979,0.003113007,0.02599,0.022693,0.004095907,0.03219648,0.003190021],"category_scores_gemma":[0.06668395,0.0009533642,0.0007176183,0.005352115,0.08670088,0.02347425,0.01290956,0.04217312,0.0004779354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02039115,"about_ca_system_score_gemma":0.01432176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08325485,"about_ca_topic_score_gemma":0.09377187,"domain_scores_codex":[0.9519085,0.03265291,0.001507371,0.003958929,0.007329791,0.002642487],"domain_scores_gemma":[0.8637893,0.1151278,0.00361219,0.003985903,0.01009136,0.003393494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003498172,0.00002635336,0.0009688782,0.0001519706,0.00001628959,0.0004246343,0.1882792,0.000240868,0.0001774275,0.5436782,0.2546491,0.01135208],"study_design_scores_gemma":[0.00002452265,0.00002145024,0.001118044,0.001090005,0.00001629915,0.0003827583,0.1758288,0.0006553674,0.000378538,0.1686758,0.6516919,0.0001164422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003635498,0.002766081,0.0006465463,0.9866357,0.001626618,0.000004077854,0.0000168769,0.0000134414,0.004655062],"genre_scores_gemma":[0.3483359,0.009093532,0.003392756,0.6205002,0.009520393,0.0001158137,0.00003765663,0.0002477956,0.008755997],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08325485,"threshold_uncertainty_score":0.1799467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523818976435828,"score_gpt":0.3028183696151218,"score_spread":0.2875801798507636,"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."}}