{"id":"W3201271457","doi":"10.3390/f12091270","title":"Total and Merchantable Volume Equations for 25 Commercial Tree Species Grown in Canada and the Northeastern United States","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Mathematics; Volume (thermodynamics); Tree (set theory); Bark (sound); Statistics; Heteroscedasticity; Forest management; Forest inventory; Forestry; Environmental science; Geography; Mathematical analysis; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009735925,0.000578091,0.0002778105,0.0009665917,0.0004896356,0.0007805742,0.0009575607,0.000275085,0.0009534909],"category_scores_gemma":[0.002674594,0.0002931344,0.0006759301,0.001052557,0.0002061461,0.0004154728,0.000362984,0.000338528,0.0001934927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007700426,"about_ca_system_score_gemma":0.00443645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8332256,"about_ca_topic_score_gemma":0.8924319,"domain_scores_codex":[0.9996377,0.00004645577,0.00003483152,0.00009721491,0.0001447203,0.0000391573],"domain_scores_gemma":[0.998862,0.0003236868,0.0001497246,0.00003230778,0.0005880331,0.00004428536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191326,0.0001355036,0.758981,0.00008814648,0.0001470158,0.00015887,0.0005049395,0.1525605,0.002329724,0.001739349,0.002588234,0.0806476],"study_design_scores_gemma":[0.00002039962,0.00008874944,0.3716368,0.00003798625,0.0001026135,0.00008721292,0.0005090419,0.618157,0.002211423,0.0006754297,0.006404556,0.00006873025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780593,0.0001787362,0.01635497,0.00006189472,0.00001061865,0.0001196014,0.002611147,0.0002103298,0.002393384],"genre_scores_gemma":[0.96274,0.0002123514,0.02866183,0.0000269118,0.000004370055,0.00009759609,0.005293244,0.00004978858,0.00291383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1667744,"threshold_uncertainty_score":0.3355131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009933145491399047,"score_gpt":0.1956446775366623,"score_spread":0.1857115320452633,"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."}}