{"id":"W1481397227","doi":"10.1086/669881","title":"The Lab and the Land: Overcoming the Arctic in Cold War Alaska","year":2013,"lang":"en","type":"article","venue":"Isis","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cold war; Militarization; Indigenous; Arctic; The arctic; History; World War II; Environmental ethics; Law; Aeronautics; Archaeology; Political science; Oceanography; Engineering; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004207784,0.0003209683,0.0002887402,0.001097155,0.01872323,0.01009497,0.0008964302,0.002463749,0.004327403],"category_scores_gemma":[0.002480814,0.0002414613,0.0002504524,0.0007415476,0.01609508,0.005774185,0.007868249,0.003592385,0.000688064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005007898,"about_ca_system_score_gemma":0.01147642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02942844,"about_ca_topic_score_gemma":0.07642496,"domain_scores_codex":[0.9981306,0.001269314,0.00005547607,0.0001234423,0.0001765996,0.0002446253],"domain_scores_gemma":[0.998632,0.0004524586,0.0001189906,0.00008627351,0.0002092656,0.0005008607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000236744,0.000139968,0.009402493,0.00054918,0.00002476632,0.002997645,0.592743,0.0007143946,0.002682576,0.217245,0.05308969,0.1201746],"study_design_scores_gemma":[0.000005229057,0.0001023271,0.003106175,0.0005793427,0.00001773214,0.0003574483,0.4308468,0.000120525,0.0008131447,0.02396352,0.5400475,0.00004027877],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2607229,0.07523138,0.005275606,0.1554219,0.01026759,0.00006257948,0.00006969909,0.0001790133,0.4927694],"genre_scores_gemma":[0.8596291,0.0362169,0.003278218,0.01446933,0.001511482,0.00006717507,0.00004203283,0.00009842413,0.08468729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812768,"threshold_uncertainty_score":0.05851424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0062662872441344,"score_gpt":0.2165426346392058,"score_spread":0.2102763473950714,"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."}}