{"id":"W7106013268","doi":"10.7939/83340","title":"Lake-mediated climate buffering in Canada’s western boreal forest","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Taiga; Disjunct; Boreal; Habitat; Global warming; Shore; Species distribution; Ecological niche","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":[0.0003064683,0.0002958307,0.0002639219,0.0005737522,0.001670861,0.001370154,0.0006599319,0.0002510491,0.0008881434],"category_scores_gemma":[0.0009663384,0.0002077347,0.0004248036,0.0009947418,0.0009974289,0.0005426722,0.0007815962,0.0002808066,0.00003187254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.019106,"about_ca_system_score_gemma":0.01069406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9696324,"about_ca_topic_score_gemma":0.9843913,"domain_scores_codex":[0.9997938,0.0000256927,0.000007408294,0.00005115366,0.00003037763,0.0000915934],"domain_scores_gemma":[0.9996669,0.00006375465,0.00007266837,0.00001471558,0.0000874403,0.0000944651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002039365,0.00007318232,0.9005548,0.00006996958,0.0002000074,0.0002460122,0.001794471,0.07462287,0.004457614,0.005543999,0.001161723,0.01107145],"study_design_scores_gemma":[0.00002475816,0.0000424795,0.89195,0.00002664769,0.00008634462,0.00006158249,0.002579996,0.1018447,0.0005650882,0.001229602,0.001543841,0.0000449937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981269,0.00006850212,0.0003216969,0.00007150522,0.000001291831,0.000008605756,0.0002161997,0.00001612101,0.001169194],"genre_scores_gemma":[0.9992496,0.00006203883,0.0004188003,0.00001528662,5.679679e-7,0.000003981073,0.00009961419,0.000002872687,0.0001471575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03036761,"threshold_uncertainty_score":0.1386244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006947663924431884,"score_gpt":0.1724814367846053,"score_spread":0.1655337728601735,"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."}}