{"id":"W2999381525","doi":"10.5558/tfc2019-026","title":"Evaluating and modeling variation in site-level maximum carrying capacity of mixed-species forest stands in the Acadian Region of northeastern North America","year":2019,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest ecology and management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nature Conservancy; U.S. Department of Agriculture; U.S. Forest Service; National Science Foundation","keywords":"Basal area; Abiotic component; Environmental science; Forestry; Range (aeronautics); Forest inventory; Geography; Forest ecology; Ecology; Elevation (ballistics); Physical geography; Ecosystem; Forest management; Mathematics; 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":[0.0005536076,0.0000879118,0.000134727,0.00003686635,0.00006749919,0.000008538919,0.0002344656,0.00004361204,0.0000394255],"category_scores_gemma":[0.00002710928,0.00006005965,0.00002620884,0.0002057661,0.000178727,0.0001586164,0.0001234901,0.0001504731,0.000008999446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501209,"about_ca_system_score_gemma":0.0000160761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315076,"about_ca_topic_score_gemma":0.04465003,"domain_scores_codex":[0.9990503,0.0001111239,0.0002513584,0.0001700114,0.0002102171,0.0002070014],"domain_scores_gemma":[0.9994875,0.00008501157,0.000136963,0.0002672085,0.000005948239,0.00001742269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002596794,0.00002773096,0.588625,0.00002311924,0.000003975748,9.674106e-7,0.003575884,0.4062834,0.0001789593,0.0007659763,0.000004291072,0.0004847349],"study_design_scores_gemma":[0.0003458269,0.00009642322,0.7070192,0.00002056887,0.000007631123,0.000001837197,0.000718515,0.2884618,0.00001754708,0.003249275,0.00001057258,0.00005078622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968574,0.00002777157,0.002009745,0.0001769782,0.00003533971,0.000375914,0.000006704673,0.000004207038,0.0005059114],"genre_scores_gemma":[0.9997464,0.00001494306,0.0001362489,0.00004148851,0.000009370582,0.00001531807,0.000004732535,0.000006107115,0.00002543729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183943,"threshold_uncertainty_score":0.9727826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493302979055052,"score_gpt":0.2527703638713083,"score_spread":0.2034400659658031,"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."}}