{"id":"W2061528417","doi":"10.1139/cjfr-2013-0510","title":"Proportional basal area method for implementing selection silviculture systems in longleaf pine forests","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silviculture; Basal area; Forestry; Selection (genetic algorithm); Pinus <genus>; Forest management; Tree (set theory); Environmental science; Agroforestry; Biology; Mathematics; Botany; Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003470259,0.0005513329,0.0004011539,0.00169941,0.0004658119,0.0006893057,0.0008560764,0.0003556176,0.001946816],"category_scores_gemma":[0.005616435,0.0005085706,0.0002056377,0.001139376,0.0002948,0.0007716409,0.000593735,0.000492425,0.0009957004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075316,"about_ca_system_score_gemma":0.0006184542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697137,"about_ca_topic_score_gemma":0.00658789,"domain_scores_codex":[0.9981528,0.0006211158,0.0001615761,0.000357406,0.0006275809,0.00007950501],"domain_scores_gemma":[0.9968895,0.001140082,0.0004883987,0.0002809573,0.001099197,0.0001017255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000637317,0.0002018817,0.03034457,0.0003326242,0.00005651401,0.0001435154,0.000649453,0.006934085,0.08238011,0.002574984,0.002925044,0.8728198],"study_design_scores_gemma":[0.0002386844,0.002095069,0.1827602,0.0002128013,0.0001713454,0.001525767,0.001089173,0.5416024,0.1962857,0.009191286,0.06447811,0.0003494262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06283772,0.0004040053,0.9300998,0.00003364854,0.00008277418,0.0006117379,0.0003408335,0.002653294,0.002936126],"genre_scores_gemma":[0.1267661,0.0001718788,0.8701813,0.00003192138,0.00002332658,0.0007060519,0.0002804214,0.0002077052,0.001631425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003470259,"threshold_uncertainty_score":0.01835269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307922476833394,"score_gpt":0.3216079710967761,"score_spread":0.2908157234134367,"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."}}