{"id":"W6959276596","doi":"10.7939/r3-es61-9j43","title":"Forest Tree Population Response to Climate Variability and Climate Change: Implications for Reforestation","year":2022,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Climate change; Taiga; Forest management; Population; Vegetation (pathology); Population growth; Forest ecology; Adaptive capacity","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":[0.001072727,0.0001542845,0.0002326218,0.0005591247,0.0005427638,0.0008756913,0.000446908,0.0002505964,0.001038661],"category_scores_gemma":[0.002250472,0.00007027699,0.0002474364,0.001047416,0.0005010893,0.0005712822,0.0004191715,0.0002959427,0.00006432016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263662,"about_ca_system_score_gemma":0.001637346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3443958,"about_ca_topic_score_gemma":0.5319076,"domain_scores_codex":[0.9997029,0.00007804619,0.00001215537,0.00005712727,0.00004965215,0.0001000925],"domain_scores_gemma":[0.9990053,0.0002650049,0.0002222269,0.00006894308,0.0002571773,0.0001813206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000354853,0.00001697077,0.9849221,0.00002189533,0.0000634928,0.00006529248,0.0007190843,0.002925427,0.0004578384,0.0005722765,0.0001726208,0.01002766],"study_design_scores_gemma":[8.046446e-7,0.00001829149,0.9962367,0.00000707748,0.00001083371,0.00002623724,0.001066223,0.001961945,0.00005686701,0.0002652694,0.0003447233,0.000005000311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996492,0.0003901014,0.0003756039,0.0003546087,0.000005437758,0.000009106062,0.0003012415,0.000007265665,0.002064536],"genre_scores_gemma":[0.9991454,0.0002656276,0.0001790727,0.00003162416,0.000004516509,0.000003103162,0.0001237003,0.000001682224,0.0002452291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6556042,"threshold_uncertainty_score":0.6847824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333517776360064,"score_gpt":0.2617166106269352,"score_spread":0.2483814328633346,"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."}}