{"id":"W2074188915","doi":"10.1007/s11027-009-9191-8","title":"Addressing human security in the Arctic in the context of climate change through science and technology","year":2009,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Manitoba","funders":"Networks of Centres of Excellence of Canada; Government of Canada","keywords":"Arctic; Climate change; Context (archaeology); The arctic; Human security; Environmental resource management; Business; Environmental planning; Political science; Environmental science; Geography; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002956051,0.0004020809,0.0002548693,0.001178615,0.003511695,0.004580012,0.0004646797,0.002889591,0.001798714],"category_scores_gemma":[0.002620014,0.00009608427,0.000298483,0.001095037,0.00597685,0.003530781,0.002898718,0.001605674,0.0001013736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004560649,"about_ca_system_score_gemma":0.01431346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.028878,"about_ca_topic_score_gemma":0.03800808,"domain_scores_codex":[0.9981819,0.001032402,0.00003633522,0.00007877253,0.0001880562,0.0004825679],"domain_scores_gemma":[0.9985532,0.0007466538,0.0002373895,0.00005721425,0.0001950381,0.0002105195],"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":[0.0001314188,0.0001157939,0.01413977,0.0003728098,0.00007909981,0.000584822,0.007570945,0.009355046,0.001581242,0.9321304,0.004107814,0.02983082],"study_design_scores_gemma":[0.0000404872,0.0003232491,0.04585981,0.0009519058,0.000148806,0.0005652711,0.06855605,0.01038589,0.003077789,0.6783915,0.1916229,0.00007642576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4359872,0.03993563,0.01184438,0.171064,0.001207797,0.00007919539,0.0002065604,0.00002591024,0.3396493],"genre_scores_gemma":[0.9798301,0.01447251,0.0009595259,0.001402746,0.0002755793,0.00002485138,0.00001896667,0.00000331004,0.003012451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.028878,"threshold_uncertainty_score":0.05741984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630697573757547,"score_gpt":0.4015568123938471,"score_spread":0.2384870550180923,"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."}}