{"id":"W2990582757","doi":"10.1093/foresj/cpz056","title":"A recruitment model for beech–oak pure and mixed stands in Belgium","year":2019,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Beech; Forestry; Stocking; Forest management; Environmental science; Compositional data; Forest cover; Geography; Oak forest; Ecology; Physical geography; Mathematics; Statistics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175162,0.0009359781,0.0009669974,0.000857933,0.0007939216,0.001536542,0.002055535,0.001153572,0.002831824],"category_scores_gemma":[0.00242109,0.0006456305,0.001032309,0.0006677188,0.0006476926,0.0008621797,0.0009535975,0.0007622721,0.0008633125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773798,"about_ca_system_score_gemma":0.001301615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04732848,"about_ca_topic_score_gemma":0.03594978,"domain_scores_codex":[0.9992686,0.0003209146,0.00002542606,0.0001599207,0.00005393158,0.0001712174],"domain_scores_gemma":[0.9989635,0.0005049647,0.0001586061,0.00003813671,0.0001409481,0.0001938056],"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":[0.0002345409,0.0001111489,0.01880134,0.00005179838,0.00006784008,0.0003777741,0.0003436554,0.9614146,0.001416292,0.01033567,0.0008961748,0.005949067],"study_design_scores_gemma":[0.00002680502,0.00004936826,0.004436131,0.00001309045,0.00001912197,0.000095662,0.0001052262,0.9912862,0.00007245089,0.003278443,0.0005993776,0.00001813569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772867,0.0004489366,0.1118864,0.0005422283,0.00005543466,0.0001306845,0.0009134533,0.0002160754,0.008520097],"genre_scores_gemma":[0.9834616,0.0001079267,0.006279147,0.00005212118,0.00001499214,0.0001377989,0.0002815415,0.00004438891,0.009620448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04732848,"threshold_uncertainty_score":0.09410596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841516533649667,"score_gpt":0.3782782324873807,"score_spread":0.299863067150884,"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."}}