{"id":"W7019272595","doi":"","title":"Fine root dynamics for three distinct Northern Ontario forests : a comparison of approaches used to estimate fine root biomass, productivity, and turnover","year":2012,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Taiga; Boreal; Biomass (ecology); Temperate forest; Carbon sequestration; Temperate rainforest; Carbon stock; Abies balsamea","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001383211,0.0005622979,0.0009989023,0.0004693244,0.000251188,0.00003265324,0.0003738449,0.0002943656,0.000006742137],"category_scores_gemma":[0.00007464988,0.000606467,0.0002028518,0.0005169106,0.0001037606,0.0001803097,0.0001767519,0.0003696066,0.00000506734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006770391,"about_ca_system_score_gemma":0.0001323291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383694,"about_ca_topic_score_gemma":0.9999985,"domain_scores_codex":[0.9984369,0.00003461744,0.0003811386,0.0004898634,0.0001737851,0.0004837246],"domain_scores_gemma":[0.9986795,0.0002273419,0.0001515022,0.000525891,0.0002369974,0.0001788238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000240745,0.0004115404,0.9828491,0.001405313,0.0003278551,0.000002033139,0.00489299,0.0003443355,0.00003921728,0.000618018,0.0002377491,0.008631166],"study_design_scores_gemma":[0.0007853705,0.0001689473,0.9899759,0.0002161917,0.0004342143,0.000001095592,0.00004066085,0.0005828044,0.0001684067,0.0001063209,0.006944398,0.0005757313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891493,0.001080569,0.002584913,0.00006442104,0.0005502313,0.001202403,0.0003095679,0.0001790415,0.004879609],"genre_scores_gemma":[0.996767,2.235188e-9,0.00001465474,1.980512e-9,0.00007202165,0.00002280634,0.001126563,0.00007582921,0.001921062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986148,"threshold_uncertainty_score":0.9996387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0502553499986728,"score_gpt":0.2624054470574554,"score_spread":0.2121500970587826,"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."}}