{"id":"W1995950537","doi":"10.1139/x10-030","title":"A system for compatible prediction of total and merchantable volumes allowing for different definitions of tree volume","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Pinus pinaster; Volume (thermodynamics); Mathematics; Tree (set theory); Bark (sound); Statistics; Forestry; Mathematical analysis; Geography; Thermodynamics; Ecology; Physics","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":[0.002894538,0.001667445,0.001607825,0.002342358,0.0008096934,0.00201494,0.001945521,0.00116762,0.003997556],"category_scores_gemma":[0.009176752,0.001216507,0.002204827,0.001584061,0.0004202396,0.00189849,0.001511823,0.001745911,0.001898765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008400484,"about_ca_system_score_gemma":0.002143767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008947544,"about_ca_topic_score_gemma":0.007608613,"domain_scores_codex":[0.9978933,0.0004622182,0.0002523985,0.0006843662,0.000587074,0.0001206981],"domain_scores_gemma":[0.9973241,0.001201439,0.0003008875,0.0002846169,0.0008354043,0.00005343261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003095749,0.0003555731,0.02899308,0.0007799665,0.0004015132,0.0005515387,0.0006242711,0.414515,0.02814965,0.0229208,0.008257151,0.4941419],"study_design_scores_gemma":[0.00003052159,0.0001016484,0.005186949,0.00004947118,0.00008180818,0.000184299,0.00003775248,0.9760468,0.007276934,0.00373953,0.007173954,0.00009024201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008989283,0.00008516492,0.9867884,0.00003505151,0.0000527501,0.0001242677,0.000572118,0.002537953,0.0008150449],"genre_scores_gemma":[0.1905224,0.0003491442,0.8003035,0.00007859925,0.0001116218,0.0008915322,0.003033141,0.0006743387,0.00403562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008947544,"threshold_uncertainty_score":0.01779091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04471953367052407,"score_gpt":0.2665055176814135,"score_spread":0.2217859840108894,"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."}}