{"id":"W7096807227","doi":"","title":"Vulnerability to climate change in the Arctic: A case study from Arctic","year":2006,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Livelihood; Climate change; Vulnerability (computing); Context (archaeology); Arctic; Flexibility (engineering); The arctic; Psychological resilience","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":[0.001108069,0.0005967601,0.0005377072,0.001116636,0.01996283,0.001907699,0.001214601,0.001603875,0.001405723],"category_scores_gemma":[0.001824657,0.0003183894,0.0004805533,0.001981068,0.001968769,0.0007313034,0.002795343,0.001416867,0.000165267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007607795,"about_ca_system_score_gemma":0.007746493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6175278,"about_ca_topic_score_gemma":0.8451928,"domain_scores_codex":[0.998926,0.0004053501,0.00003308227,0.00006539629,0.0001521087,0.0004180235],"domain_scores_gemma":[0.9990236,0.0002752653,0.0001331796,0.00005114706,0.0001469206,0.0003699326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002327324,0.000676774,0.1621868,0.0003348351,0.00009805167,0.1723424,0.6253669,0.001697021,0.002378608,0.0048213,0.004264941,0.02559966],"study_design_scores_gemma":[0.00001264176,0.0002071773,0.05114357,0.0001969369,0.00007115516,0.02404337,0.9057817,0.001200626,0.0008014887,0.0009655636,0.01551206,0.00006357271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942238,0.0002446671,0.0003724553,0.0007392128,0.0000215756,0.00004895082,0.00006766373,0.000006108256,0.004275626],"genre_scores_gemma":[0.995406,0.001242082,0.000813349,0.0002211625,0.00001837364,0.00003008,0.00004424241,0.000009687536,0.002215078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6175278,"threshold_uncertainty_score":0.7694494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09995938303411059,"score_gpt":0.4318976099660564,"score_spread":0.3319382269319459,"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."}}