{"id":"W4394704344","doi":"10.1093/forestscience/57.2.117","title":"Estimating Wood Volume of the Stem and Branches of Sugar Maple (<i>Acer saccharum</i> Marsh.) Using a Stem Profile Model with Implicit Height","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Maple; Marsh; Aceraceae; Volume (thermodynamics); Saccharum; Botany; Sugar; Biology; Environmental science; Forestry; Mathematics; Geography; Ecology; Physics; Wetland","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001656158,0.0002729063,0.0001564908,0.0003803852,0.0001510381,0.0002743443,0.0004191761,0.0002807048,0.0002633232],"category_scores_gemma":[0.0003379914,0.000265479,0.000216885,0.0002408956,0.00008791936,0.0004335251,0.0002349509,0.0001841189,0.0001229487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889771,"about_ca_system_score_gemma":0.000356476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03073095,"about_ca_topic_score_gemma":0.06849065,"domain_scores_codex":[0.9999535,0.00000832753,0.000001810096,0.00001578691,0.00001093076,0.000009626344],"domain_scores_gemma":[0.9998504,0.00006446216,0.00002185048,0.00001354158,0.00002602109,0.00002373245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003865463,0.0003719632,0.3650323,0.00007151534,0.0001395505,0.0001531849,0.0001802564,0.514035,0.03738071,0.0005889587,0.0005504152,0.08110956],"study_design_scores_gemma":[0.000006503732,0.0000350787,0.053867,0.000001593858,0.00001405137,0.00002074603,0.00003180811,0.9441967,0.001657762,0.0001010283,0.00005812207,0.000009578036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932498,0.00002020445,0.006393995,0.000008666735,0.000001358656,0.000002822538,0.00008212573,0.00004991591,0.0001912236],"genre_scores_gemma":[0.9944699,0.00001341522,0.005217446,0.00000202035,9.282347e-7,0.000002448298,0.0001474151,0.000004810113,0.000141611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03073095,"threshold_uncertainty_score":0.06110418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800434187524201,"score_gpt":0.2028231409107689,"score_spread":0.1848187990355269,"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."}}