{"id":"W2523527552","doi":"10.1007/s11625-016-0401-5","title":"Longitudinal assessment of climate vulnerability: a case study from the Canadian Arctic","year":2016,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; ArcticNet","keywords":"Subsistence agriculture; Climate change; Livelihood; Arctic; Vulnerability (computing); Geography; Context (archaeology); Environmental resource management; Environmental planning; Seascape; Ecology; Agriculture; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01005886,0.0001408636,0.0002951014,0.00009728575,0.01349946,0.00001881567,0.000535302,0.00007264603,0.0003665081],"category_scores_gemma":[0.004495881,0.00007254005,0.00005248101,0.0006246028,0.00165902,0.0001836031,0.0006356432,0.0003573049,0.00001541933],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008235119,"about_ca_system_score_gemma":0.01387526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9299472,"about_ca_topic_score_gemma":0.9934918,"domain_scores_codex":[0.9958482,0.0008570038,0.0005435154,0.0005919332,0.0003967838,0.001762569],"domain_scores_gemma":[0.9940463,0.001932765,0.0001891045,0.001007098,0.002571494,0.0002531802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001047445,0.0001463848,0.9640102,0.00005701405,0.00001209365,0.0001724182,0.03240363,0.000003755497,0.000004005477,0.001762118,0.00002339897,0.001394475],"study_design_scores_gemma":[0.0003009747,0.0002333394,0.7380062,0.00001090336,0.00001807752,0.000009806346,0.2583756,0.00002493654,5.921554e-7,0.002665068,0.0002794831,0.00007498914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850453,0.00001258613,0.00004449063,0.0101014,0.0004894304,0.002933862,0.00005337171,0.00002044926,0.001299123],"genre_scores_gemma":[0.9992231,0.000004383446,0.0000750447,0.0002497452,0.00007243681,0.000300913,4.624244e-7,0.00000670659,0.00006720054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226004,"threshold_uncertainty_score":0.9955721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870010497839341,"score_gpt":0.4402589639244699,"score_spread":0.3915588589460765,"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."}}