{"id":"W2089441661","doi":"10.1080/02827581.2011.583677","title":"Effects of sample size and tree selection criteria on the performance of taper equations","year":2011,"lang":"en","type":"article","venue":"Scandinavian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Ontario Forest Research Institute","funders":"Ministry of Natural Resources","keywords":"Black spruce; Mathematics; Tree (set theory); Basal area; Diameter at breast height; Pinus <genus>; Calibration; Selection (genetic algorithm); Statistics; Sample size determination; Ecology; Combinatorics; Taiga; Botany; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00110558,0.00005835522,0.0001160489,0.00009512632,0.0001594274,0.000007915598,0.000218545,0.00003589845,0.001055713],"category_scores_gemma":[0.0005468259,0.00003707644,0.00003783073,0.0002661935,0.0004953042,0.0001433817,0.00008931052,0.0002145089,0.00001292408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005842347,"about_ca_system_score_gemma":0.00001554437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882836,"about_ca_topic_score_gemma":0.0002270716,"domain_scores_codex":[0.9989855,0.000175848,0.0002115261,0.00008420842,0.0003511756,0.000191788],"domain_scores_gemma":[0.9987111,0.0009469951,0.000131526,0.0001002559,0.00005002484,0.00006011612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005726004,0.00032893,0.9755396,0.0001071525,0.00005615853,0.000007982003,0.001651278,0.0001045278,0.006643882,0.009359411,0.001606102,0.004022369],"study_design_scores_gemma":[0.0003435377,0.002255574,0.9767609,0.00007909072,0.00001421044,0.000007181618,0.00008674322,0.00033609,0.01163618,0.008362309,0.00008115093,0.00003701349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966581,0.00002473302,0.0001897283,0.0001474479,0.00005757718,0.0001946148,0.00000109188,0.000001434584,0.002725209],"genre_scores_gemma":[0.9991687,0.00008810753,0.0004827774,0.00001587594,0.00001840756,0.000008235801,1.597343e-7,0.000004799185,0.0002129557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004992303,"threshold_uncertainty_score":0.9998575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603270680247452,"score_gpt":0.2968248259452608,"score_spread":0.2607921191427863,"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."}}