{"id":"W2739731340","doi":"10.1093/forestscience/50.5.659","title":"Climate and Productivity of Major Conifer Species in the Interior of British Columbia, Canada","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Pinus contorta; Picea engelmannii; Site index; Douglas fir; Productivity; Frost (temperature); Forestry; Abies lasiocarpa; Environmental science; Latitude; Physical geography; Precipitation; Climate change; Elevation (ballistics); Geography; Ecology; Atmospheric sciences; Biology; Meteorology; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003430105,0.000253657,0.0003525761,0.001537125,0.002294137,0.001155342,0.0007442077,0.0003397065,0.002383044],"category_scores_gemma":[0.001211446,0.0002751293,0.0002734415,0.003109854,0.0006518703,0.0003394992,0.0006403932,0.0004744378,0.0002811243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01508042,"about_ca_system_score_gemma":0.01120221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949886,"about_ca_topic_score_gemma":0.9990124,"domain_scores_codex":[0.999706,0.00002935675,0.00001913767,0.00005275545,0.00006734931,0.0001253895],"domain_scores_gemma":[0.9982508,0.0001628642,0.0001999021,0.00004967209,0.0008609563,0.0004757392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009017523,0.00002682188,0.9912232,0.00002838526,0.00007442561,0.0001300309,0.000856043,0.0002811168,0.0005222409,0.0001019415,0.001717108,0.004948354],"study_design_scores_gemma":[0.000002651449,0.000002298813,0.9984367,0.00001148255,0.00001008702,0.00002687906,0.0008356236,0.0001022912,0.00002601966,0.0000143454,0.0005271523,0.000004392601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946866,0.0006597567,0.00003947822,0.00015158,0.000009150237,0.000008756735,0.002552771,0.000006767034,0.001885103],"genre_scores_gemma":[0.996516,0.0004571851,0.00006593204,0.00005970738,0.000003305224,0.00000704322,0.001198749,0.0000049101,0.001687107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508042,"threshold_uncertainty_score":0.1094166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004171740734846423,"score_gpt":0.1776555562774774,"score_spread":0.173483815542631,"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."}}