{"id":"W3197517894","doi":"10.3390/f12091181","title":"Evaluating the Performance of a Forest Succession Model to Predict the Long-Term Dynamics of Tree Species in Mixed Boreal Forests Using Historical Data in Northern Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Ontario Forest Research Institute; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecological succession; Abies balsamea; Forest dynamics; Balsam; Black spruce; Taiga; Forestry; Forest ecology; Ecology; Larch; Basal area; Forest management; Environmental science; Sustainable forest management; Disturbance (geology); Geography; Stand development; Spruce budworm; Yellow birch; Ecosystem; Biology; Maple; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001404147,0.0008468545,0.0003839537,0.000564918,0.001035288,0.0007997295,0.001011512,0.0005227973,0.0006149468],"category_scores_gemma":[0.002429452,0.000472013,0.0004908366,0.0004469821,0.0003673953,0.0004208528,0.0003709647,0.0003693251,0.0001037849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01086055,"about_ca_system_score_gemma":0.008753912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707163,"about_ca_topic_score_gemma":0.9560649,"domain_scores_codex":[0.999759,0.0000507211,0.00002076102,0.00006707763,0.00003903003,0.00006352315],"domain_scores_gemma":[0.9986835,0.0005350886,0.0001105471,0.00004825846,0.0004334079,0.0001891497],"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":[0.0005190065,0.0002486398,0.1656523,0.00005765722,0.0001347416,0.0001276344,0.0001390559,0.8173188,0.001444645,0.0002387292,0.0007905068,0.01332831],"study_design_scores_gemma":[0.00005525986,0.0000676936,0.02952599,0.000006803464,0.00002849247,0.00001107724,0.00009058266,0.9696071,0.0003456045,0.00004483166,0.0002039592,0.00001263356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997317,0.0001048835,0.001048416,0.00007006936,0.000006559162,0.00003529672,0.0004349658,0.00008664433,0.0008962281],"genre_scores_gemma":[0.9968873,0.00006104126,0.001577288,0.00001705219,0.000002296899,0.00001792985,0.000801802,0.000009067447,0.0006262677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0292837,"threshold_uncertainty_score":0.07879913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805849907399378,"score_gpt":0.2703434550624254,"score_spread":0.2322849559884316,"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."}}