{"id":"W2067190904","doi":"10.2980/18-3-3469","title":"Environmental change in the Great Whale River region, Hudson Bay: Five decades of multidisciplinary research by Centre d'études nordiques (CEN)","year":2011,"lang":"en","type":"article","venue":"Ecoscience","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Université du Québec à Rimouski; Institut National de la Recherche Scientifique; Université Laval; Center for Northern Studies","funders":"","keywords":"Bay; Tundra; Environmental change; Permafrost; Shore; Vegetation (pathology); Wetland; Physical geography; Holocene; Geography; Climate change; Oceanography; Tree line; Geology; Ecology; Arctic","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007207515,0.0001163725,0.0001261002,0.0001134792,0.0002526096,0.00003163219,0.0006043076,0.00006125386,0.002287389],"category_scores_gemma":[0.00002312172,0.00007853535,0.00003796301,0.0003580031,0.000643638,0.0005489502,0.00006872505,0.0001807905,0.0001315216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000121627,"about_ca_system_score_gemma":0.00001734351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01567287,"about_ca_topic_score_gemma":0.03754914,"domain_scores_codex":[0.9984382,0.0002083248,0.0001698297,0.0003375816,0.0004127731,0.0004333019],"domain_scores_gemma":[0.9993958,0.0001944237,0.00005973649,0.000249148,0.00001662213,0.000084245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002688102,0.00006838566,0.956835,0.00001016765,0.000001284088,0.00003117885,0.03797056,0.000001120756,0.0002200481,0.00001929404,0.00129393,0.003522104],"study_design_scores_gemma":[0.000129283,0.0001632677,0.9886812,0.00004095075,0.000002608476,0.00001338238,0.006695081,0.001173862,0.000765767,0.0001696289,0.002048817,0.0001161571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948921,0.001018294,0.00000165886,0.0004260637,0.00009249961,0.0002851398,0.0005930052,0.000008205205,0.002682984],"genre_scores_gemma":[0.997838,0.001511779,0.0001032213,0.0001641225,0.00005380367,0.000005160077,0.0001368724,0.000003065197,0.0001840376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03184615,"threshold_uncertainty_score":0.9986247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430241090522165,"score_gpt":0.3024231134483676,"score_spread":0.1593990043961512,"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."}}