{"id":"W2082898532","doi":"10.5558/tfc85258-2","title":"Climate change and forest seed zones: Past trends, future prospects and challenges to ponder","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Northern British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service","keywords":"Growing season; Climate change; Sowing; Precipitation; Stock (firearms); Geography; Ecosystem; Environmental science; Agroforestry; Agronomy; Ecology; Biology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002073803,0.0001958692,0.0001780625,0.00007746751,0.0002711689,0.0001005926,0.0001912389,0.00007749924,0.00008530277],"category_scores_gemma":[0.0000109009,0.000127049,0.00003015556,0.0001801592,0.00009461278,0.0002309097,0.00003674764,0.0001302499,0.00006286985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000770047,"about_ca_system_score_gemma":0.00001331904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001614626,"about_ca_topic_score_gemma":0.006039348,"domain_scores_codex":[0.9988009,0.00004896403,0.000136967,0.0003197351,0.0001792524,0.000514237],"domain_scores_gemma":[0.9993848,0.00008185732,0.00005108673,0.0002836572,0.00001381605,0.0001847584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004813293,0.00005259573,0.5679871,0.0001340727,0.00002408309,0.00005491532,0.003189973,0.0001635138,0.00006841435,0.002873783,0.000280818,0.4246894],"study_design_scores_gemma":[0.0003973886,0.0004922152,0.9935002,0.00004683664,0.0000152548,0.00008671764,0.0004964547,0.00083055,0.00002238764,0.0006543815,0.00327873,0.0001788914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657767,0.0170385,7.367226e-7,0.01541972,0.0001104685,0.0002491488,0.00006293572,0.0001000309,0.001241731],"genre_scores_gemma":[0.9943151,0.004484286,0.0001125336,0.0004024352,0.0005915157,0.000004832465,0.00001651605,0.000007503468,0.00006520977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4255131,"threshold_uncertainty_score":0.5180907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962788312890587,"score_gpt":0.2369119415126572,"score_spread":0.2072840583837514,"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."}}