{"id":"W2464193282","doi":"10.1007/s11284-011-0829-0","title":"General allometric equations and biomass allocation of <i>Pinus massoniana</i> trees on a regional scale in southern China","year":2011,"lang":"en","type":"article","venue":"Ecological Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Program for New Century Excellent Talents in University","keywords":"Tree allometry; Pinus massoniana; Biomass (ecology); Allometry; Canopy; Diameter at breast height; Tree (set theory); Environmental science; Range (aeronautics); Biomass partitioning; Ecology; Biology; Mathematics; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001249231,0.00006704057,0.0001041557,0.0002303992,0.0001080694,0.000007611344,0.000210177,0.00009773807,0.002341878],"category_scores_gemma":[0.0002953232,0.00005227751,0.00002413725,0.0007283151,0.0004660643,0.0000560774,0.0002493281,0.0001749659,0.0003541509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258693,"about_ca_system_score_gemma":0.00001100274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254521,"about_ca_topic_score_gemma":0.005139129,"domain_scores_codex":[0.9987214,0.0002181357,0.0001635246,0.0002689724,0.0003222116,0.000305755],"domain_scores_gemma":[0.9995304,0.0002038162,0.00003646863,0.0001428705,0.00001086386,0.00007558038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191848,0.002317577,0.9417877,0.00001630451,0.0000233561,0.00003752989,0.001974748,0.0004312486,0.003006035,0.03913015,0.003454243,0.007629282],"study_design_scores_gemma":[0.0002670466,0.0005515122,0.9833968,0.00000333099,0.000001948605,6.345897e-7,0.0001160844,0.001186845,0.000146551,0.01398464,0.0002881687,0.00005642357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771286,0.00001727061,0.0001276545,0.0007635371,0.00001912161,0.0002767491,0.000002707164,0.000009605207,0.02165478],"genre_scores_gemma":[0.9972466,0.0000265259,0.0006509522,0.00007326787,0.000009255458,0.00007493128,0.000003839894,0.000004054392,0.001910537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04160913,"threshold_uncertainty_score":0.9985701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08464208814465063,"score_gpt":0.3110460044032575,"score_spread":0.2264039162586069,"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."}}