{"id":"W3025664863","doi":"10.1139/cjfr-2020-0056","title":"Optimizing continuous cover and rotation forestry in mixed-species boreal forests","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thinning; Taiga; Felling; Forestry; Scots pine; Short rotation forestry; Boreal; Agroforestry; Environmental science; Forest management; Stand development; Mathematics; Woody plant; Ecology; Geography; Coppicing; Biology; Pinus <genus>; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728686,0.0008302855,0.0007613399,0.0003749274,0.0004682799,0.001210788,0.0009658295,0.001116131,0.002220954],"category_scores_gemma":[0.001390896,0.0005638817,0.0006048984,0.0003339843,0.0008011853,0.001165699,0.0006927014,0.0005262272,0.0001343402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571163,"about_ca_system_score_gemma":0.001390228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02927068,"about_ca_topic_score_gemma":0.03403948,"domain_scores_codex":[0.9997446,0.00009232572,0.000006635854,0.00004209416,0.00002470339,0.00008960737],"domain_scores_gemma":[0.9992689,0.00037877,0.0001362604,0.00002003556,0.00004312418,0.0001528631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005336526,0.0000606914,0.002168053,0.00001478592,0.00001832819,0.00004167418,0.00001108025,0.9938751,0.0002240531,0.001581478,0.0001407572,0.001810673],"study_design_scores_gemma":[0.00002781725,0.00009426982,0.001651299,0.000004848531,0.00001152175,0.00001953947,0.00002476898,0.9961648,0.00006740239,0.001702963,0.0002246281,0.000006234727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336028,0.0007296304,0.05381528,0.0005765725,0.00003702998,0.00008547356,0.0003185822,0.0000997598,0.01073479],"genre_scores_gemma":[0.9920502,0.000154962,0.005301422,0.00004273677,0.00001013456,0.00003657213,0.00007926393,0.00001560734,0.002309015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9707293,"threshold_uncertainty_score":0.0582006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863579933504534,"score_gpt":0.2850787700679436,"score_spread":0.2464429707328982,"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."}}