{"id":"W2145013734","doi":"10.1139/x08-205","title":"Accuracy and equivalence testing of crown ratio models and assessment of their impact on diameter growth and basal area increment predictions of two variants of the Forest Vegetation Simulator","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service","keywords":"Basal area; Statistics; Mathematics; Weibull distribution; Crown (dentistry); Rank correlation; Animal science; Equivalence (formal languages); Mean squared error; Correlation coefficient; Coefficient of determination; Environmental science; Forestry; Biology; Geography; Materials science","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":[0.001233566,0.00008995304,0.0001963801,0.0002077844,0.0001384207,0.0000178152,0.000201692,0.00003705146,0.00002307608],"category_scores_gemma":[0.0004298983,0.00005811912,0.00003922079,0.0002545092,0.0006029502,0.0002955108,0.00007379067,0.0002127902,7.172166e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167729,"about_ca_system_score_gemma":0.0002956204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004618104,"about_ca_topic_score_gemma":0.01417359,"domain_scores_codex":[0.9987726,0.0001492315,0.0003753416,0.0001226538,0.0003529355,0.0002272013],"domain_scores_gemma":[0.9987102,0.0005113709,0.0003022987,0.000156625,0.0001184678,0.0002009955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004585906,0.00006228163,0.8880496,0.00005459396,0.00004221065,0.000004612323,0.0004480339,0.1045738,0.002435426,0.003116543,0.00005287282,0.001114164],"study_design_scores_gemma":[0.0004540301,0.001098043,0.9246703,0.0001670688,0.00001952209,0.000007032601,0.00006220704,0.05613525,0.0007048796,0.01664029,0.000001343274,0.00004007581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974229,0.00008051365,0.001175753,0.0002079648,0.00002428091,0.0003009708,0.00002067788,6.896767e-7,0.0007662927],"genre_scores_gemma":[0.9992648,0.00005241263,0.0006393369,0.0000197988,0.000009771534,0.000002575914,7.098558e-7,0.000004546802,0.000006055327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04843855,"threshold_uncertainty_score":0.7909198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370447004740544,"score_gpt":0.3404475822381937,"score_spread":0.2767431121907882,"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."}}