{"id":"W2097597310","doi":"10.1139/x10-221","title":"Tree spatial pattern within the forest–tundra ecotone: a comparison of sites across CanadaThis article is a contribution to the series Tree recruitment, growth, and distribution at the circumpolar forest–tundra transition.","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Memorial University of Newfoundland; Dalhousie University; University of New Brunswick","funders":"","keywords":"Ecotone; Tundra; Ecology; Tree line; Climate change; Physical geography; Spatial ecology; Taiga; Geography; Forest dynamics; Ecosystem; Forestry; Shrub; Biology","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":[0.002515586,0.0001947143,0.0003092054,0.000154108,0.001639701,0.0002724692,0.0006866916,0.0001032905,0.0002856353],"category_scores_gemma":[0.0007613017,0.0001081836,0.0001133215,0.0005275523,0.00110466,0.0003907955,0.00003884859,0.0005634839,0.00002161706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121747,"about_ca_system_score_gemma":0.0008321835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3805774,"about_ca_topic_score_gemma":0.9945133,"domain_scores_codex":[0.9968981,0.0006611933,0.0005940487,0.0002314756,0.0007763038,0.0008389431],"domain_scores_gemma":[0.9974818,0.0007716926,0.000265843,0.0003710931,0.0004799977,0.0006295789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005405923,0.00001748575,0.9778734,0.00002802296,0.00007455536,0.00007698208,0.013354,0.0003386107,0.00009480321,0.0001979828,0.001929928,0.005473575],"study_design_scores_gemma":[0.0004822203,0.0008805936,0.9871817,0.00008419345,0.00004215038,0.0002775424,0.00425201,0.001407505,0.002151343,0.0009377963,0.002169132,0.0001337644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847021,0.001203138,0.0003247865,0.01096349,0.0001511372,0.0007863661,0.001796726,0.000005622183,0.00006663816],"genre_scores_gemma":[0.9994911,0.00006684351,0.00002044016,0.0001518179,0.0001134242,0.00001438501,0.00009420444,0.00000970178,0.00003808081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6139359,"threshold_uncertainty_score":0.99966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08389583724775314,"score_gpt":0.3107148321564972,"score_spread":0.2268189949087441,"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."}}