{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250871,0.000269418,0.0002592173,0.002025346,0.0008899125,0.00159913,0.0004925324,0.0004506247,0.0006255658],"category_scores_gemma":[0.0013188,0.0002305982,0.0002477907,0.003865934,0.0009210219,0.0006970307,0.001193603,0.0003887265,0.00009143879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004784777,"about_ca_system_score_gemma":0.00786086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6110479,"about_ca_topic_score_gemma":0.7271069,"domain_scores_codex":[0.9995193,0.00008155893,0.00006245556,0.0001092691,0.0001245132,0.0001028528],"domain_scores_gemma":[0.9988006,0.000169077,0.0002409581,0.00006098748,0.0004755876,0.0002527162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006135459,0.00006293741,0.882745,0.0005707149,0.0001757953,0.000351382,0.006346511,0.0003301702,0.001099472,0.0002952535,0.004395536,0.1035659],"study_design_scores_gemma":[0.000001899984,0.00001453847,0.9922173,0.00009148686,0.0000123827,0.00003098113,0.001730657,0.0000398154,0.00006479661,0.00001193766,0.005780102,0.000004052805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532464,0.03706993,0.0003029254,0.002491598,0.0003367827,0.00007004313,0.00235508,0.0000297526,0.004097461],"genre_scores_gemma":[0.9649423,0.02603421,0.001191789,0.0006137208,0.0001812043,0.00008407758,0.002554242,0.00001269403,0.004385737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3889521,"threshold_uncertainty_score":0.7824854,"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."}}