{"id":"W2546384524","doi":"10.1080/11956860.2003.11682765","title":"Recent changes in treeline forest distribution and structure in interior Alaska","year":2003,"lang":"en","type":"article","venue":"Ecoscience","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Bureau of Land Management; National Science Foundation","keywords":"Tundra; Climate change; Ecology; Range (aeronautics); Black spruce; Tree line; Global warming; Environmental science; Physical geography; Taiga; Geography; Ecosystem; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000308173,0.00008108334,0.00009745918,0.00009327033,0.00004841393,0.00004536675,0.0001122126,0.00003639708,0.0003538413],"category_scores_gemma":[0.0003400907,0.00006590354,0.000006676572,0.0004245171,0.00009055615,0.0001532281,0.00001025458,0.00008700554,0.00001165803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001386845,"about_ca_system_score_gemma":0.00003326558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002712686,"about_ca_topic_score_gemma":0.2011183,"domain_scores_codex":[0.9991935,0.00007140072,0.0001203969,0.0002376417,0.0001164228,0.0002606528],"domain_scores_gemma":[0.9997088,0.00009028538,0.00003406113,0.00009321677,0.000009830183,0.00006380559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001729295,0.000004783025,0.9533758,0.000004832844,2.457461e-7,0.000011076,0.00008559534,0.0002361147,0.0002041752,0.00002365535,0.00001907222,0.04601736],"study_design_scores_gemma":[0.0001666593,0.00006494427,0.9888012,0.00002426068,7.007789e-7,0.00001899519,0.00008518735,0.002458603,0.0005510049,0.00020261,0.00754344,0.00008241063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983886,0.0005372222,0.00001554117,0.000449405,0.0001865137,0.00009106482,0.0001123881,0.00001196967,0.0002072812],"genre_scores_gemma":[0.9989998,0.0006710686,0.0001915174,0.00006125776,0.00001060458,7.56787e-7,0.00003016085,0.000001222486,0.00003360431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008471,"threshold_uncertainty_score":0.8134592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416147000826017,"score_gpt":0.2293008957549661,"score_spread":0.2151394257467059,"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."}}