{"id":"W2762432681","doi":"10.1139/er-2017-0027","title":"Climate change and Canada’s north coast: research trends, progress, and future directions","year":2017,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Memorial University of Newfoundland; McGill University","funders":"","keywords":"Climate change; Vulnerability (computing); Environmental resource management; Geography; Adaptive capacity; Subsistence agriculture; Global warming; Adaptation (eye); Environmental planning; Environmental science; Agriculture; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000470357,0.00008687702,0.000162966,0.00002494282,0.004052915,0.0000610912,0.0001244401,0.00003197386,0.00003846103],"category_scores_gemma":[0.00003344562,0.00006529266,0.0000219308,0.00003069189,0.001085143,0.000142724,0.0002026789,0.0001247256,0.00001009365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008953157,"about_ca_system_score_gemma":0.00002331048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3287641,"about_ca_topic_score_gemma":0.9482731,"domain_scores_codex":[0.998988,0.0001650056,0.0001100841,0.0001927215,0.0002296968,0.0003144386],"domain_scores_gemma":[0.9995613,0.00002215205,0.0000825934,0.0001865619,9.694777e-7,0.0001464081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001847696,0.00001355944,0.2433172,0.00001157092,0.000005261672,0.000003499211,0.004794099,1.268761e-10,2.374103e-7,0.0003103516,0.01619244,0.73535],"study_design_scores_gemma":[0.00003498526,0.000008220024,0.4401171,0.00001353182,0.00000568115,7.844979e-7,0.0009431165,1.194287e-7,1.553336e-7,0.00001120237,0.5588233,0.00004185606],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2456852,0.4387831,1.687195e-7,0.2199705,0.0008397658,0.001861108,0.0001982906,0.00004158007,0.09262032],"genre_scores_gemma":[0.4592077,0.5380611,0.00004307521,0.0001271104,0.0007021371,0.00008118743,0.00000313848,0.000005707389,0.0017688],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7353081,"threshold_uncertainty_score":0.9972437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036380051907848,"score_gpt":0.3796466716730946,"score_spread":0.2760086664823098,"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."}}