{"id":"W2096070896","doi":"10.4141/s05-079","title":"Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect Case Study","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Taiga; Environmental science; Boreal ecosystem; Forest ecology; Ecosystem; Biomass (ecology); Climate change; Boreal; Forest management; Disturbance (geology); Productivity; Agroforestry; Ecology; Forestry; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006689805,0.0006921956,0.0004512065,0.0004229405,0.0009328075,0.0008527036,0.001123325,0.0006875716,0.001148129],"category_scores_gemma":[0.001150566,0.0003366821,0.0005187648,0.0005024442,0.0004570967,0.0004170183,0.0005137892,0.0005956892,0.00007903065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003502467,"about_ca_system_score_gemma":0.002524889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6528023,"about_ca_topic_score_gemma":0.6254106,"domain_scores_codex":[0.9998197,0.00005710414,0.00001139566,0.00003299175,0.00002988084,0.00004891914],"domain_scores_gemma":[0.999465,0.0002100719,0.00003936924,0.00003669046,0.000182312,0.00006663111],"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":[0.0001176183,0.00007848193,0.01329844,0.00002547869,0.00003606103,0.0001446909,0.00004713914,0.9822057,0.0004766186,0.0005653496,0.0004090851,0.00259546],"study_design_scores_gemma":[0.0000617362,0.00006086022,0.005700303,0.000005671366,0.0000201245,0.00002660047,0.00008818855,0.9928289,0.0003938129,0.0002010533,0.0005990588,0.00001357558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908201,0.00007950597,0.002719735,0.0001277768,0.0000128218,0.0000509007,0.001231654,0.0001538194,0.004803643],"genre_scores_gemma":[0.994298,0.00004864606,0.004306077,0.00001885397,0.000002862547,0.00003358485,0.0006001852,0.00001726098,0.0006745809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3471977,"threshold_uncertainty_score":0.6984847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008735126885635611,"score_gpt":0.2094458887803588,"score_spread":0.2007107618947232,"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."}}