{"id":"W2554269667","doi":"10.1139/cjfr-2016-0330","title":"Development and evaluation of a biomass increment based index for site productivity","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Maine Agricultural and Forest Experiment Station; Natural Resources Canada; U.S. Department of Agriculture","keywords":"Site index; Abies balsamea; Productivity; Biomass (ecology); Environmental science; Basal area; Balsam; Forest management; Forestry; Ecology; Physical geography; Hydrology (agriculture); Geography; Agroforestry; Geology; Biology; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002707297,0.0006878109,0.000502202,0.002230919,0.0002928352,0.001205716,0.0008739962,0.0003634471,0.00126971],"category_scores_gemma":[0.003356731,0.0002487712,0.0003823196,0.001958829,0.0001966621,0.0008295196,0.000480794,0.0004332101,0.0005176062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342329,"about_ca_system_score_gemma":0.001173015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03000077,"about_ca_topic_score_gemma":0.05012812,"domain_scores_codex":[0.9990965,0.0001524623,0.00008047312,0.0001239292,0.0004801232,0.0000664937],"domain_scores_gemma":[0.9978097,0.0004040005,0.0002545239,0.0001709981,0.001204893,0.0001557897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002555681,0.0004342627,0.6837026,0.0001566454,0.000202057,0.000131703,0.0001684752,0.08046322,0.02476259,0.002518768,0.002454313,0.2047499],"study_design_scores_gemma":[0.00003816205,0.0004378145,0.479061,0.00003922686,0.00006829741,0.000206967,0.000204537,0.4991636,0.01472348,0.0008661391,0.005120092,0.00007060464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835058,0.0003383832,0.2916257,0.00007654973,0.00006258112,0.0007368582,0.006788282,0.001514758,0.01535123],"genre_scores_gemma":[0.8131749,0.000147232,0.1789265,0.00002424613,0.00001389576,0.0002943843,0.004947345,0.0001457906,0.002325757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000077,"threshold_uncertainty_score":0.05965233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06933819994099524,"score_gpt":0.3225376459690502,"score_spread":0.253199446028055,"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."}}