{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796926,0.00007238454,0.000140199,0.0006142951,0.0002610825,0.0003765564,0.0001291984,0.0001600361,0.0003065165],"category_scores_gemma":[0.0006827979,0.0001066912,0.00008466422,0.0004453791,0.0002439866,0.0002925871,0.0002700252,0.0001421852,0.0000574349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305158,"about_ca_system_score_gemma":0.000162548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550177,"about_ca_topic_score_gemma":0.076268,"domain_scores_codex":[0.9999105,0.00001688624,0.000009355626,0.00002995808,0.00001885397,0.00001456248],"domain_scores_gemma":[0.9995802,0.00006563182,0.0001747078,0.0000272808,0.0000916849,0.0000606047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004869625,0.00001484141,0.9917225,0.00001080318,0.00002561384,0.00007077071,0.0007695063,0.0006218069,0.003060332,0.00004313697,0.00003540502,0.003576536],"study_design_scores_gemma":[4.673444e-7,0.00001264615,0.9992461,0.000002776647,0.000005321741,0.00003339874,0.0002849835,0.0002262404,0.00009331128,0.00001660227,0.00007676097,0.00000154565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997601,0.00004076733,0.00003301653,0.000003580828,6.190039e-7,3.696996e-7,0.00003362084,0.000001627246,0.0001263752],"genre_scores_gemma":[0.9996762,0.00006153905,0.00008729313,0.000002483823,0.000001208511,9.855854e-7,0.00009205152,7.000327e-7,0.00007759297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02550177,"threshold_uncertainty_score":0.05070662,"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."}}