{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000442777,0.000193288,0.0002324099,0.000547835,0.0009247049,0.001684258,0.0003727542,0.0004913955,0.006076975],"category_scores_gemma":[0.0007471068,0.00009233595,0.000232703,0.001879695,0.0005937811,0.001140032,0.0004751809,0.0008697154,0.0005181091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004148784,"about_ca_system_score_gemma":0.007066512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6877621,"about_ca_topic_score_gemma":0.8784518,"domain_scores_codex":[0.9998301,0.0000170662,0.000009196211,0.00002598832,0.00004728694,0.00007024278],"domain_scores_gemma":[0.9992427,0.00005689452,0.0001298913,0.00001796068,0.0003255925,0.0002271431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001732062,0.0001176729,0.6646599,0.000916323,0.0001036466,0.0005215275,0.002389676,0.001195595,0.0009099701,0.006093557,0.053192,0.269727],"study_design_scores_gemma":[0.000009396739,0.00006130728,0.8979333,0.0006024343,0.00006458201,0.0001822564,0.007652603,0.001102969,0.0002318462,0.001986764,0.09013051,0.00004192376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5311992,0.2006681,0.00146065,0.1857748,0.001239603,0.00006514231,0.0137081,0.0002487619,0.06563564],"genre_scores_gemma":[0.8688582,0.1108321,0.001433427,0.004661221,0.0005003224,0.00001882732,0.003192224,0.00003026486,0.01047346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877621,"threshold_uncertainty_score":0.6281533,"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."}}