{"id":"W2078813832","doi":"10.3390/f6020510","title":"Commercial Thinning to Meet Wood Production Objectives and Develop Structural Heterogeneity: A Case Study in the Spruce-Fir Forest, Quebec, Canada","year":2015,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Thinning; Balsam; Stocking; Abies balsamea; Basal area; Hectare; Forestry; Silviculture; Wood production; Forest management; Stand development; Douglas fir; Environmental science; Mathematics; Softwood; Agroforestry; Biology; Geography; Botany; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003802404,0.0001536108,0.0001271996,0.00005650135,0.0001749392,0.00007170445,0.0002095511,0.00002587515,0.00001445237],"category_scores_gemma":[0.0001138085,0.0001106955,0.00001233625,0.0004233768,0.00004924656,0.0002416425,0.0002625024,0.00008553069,0.00001016421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437637,"about_ca_system_score_gemma":0.00007242785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457435,"about_ca_topic_score_gemma":0.9998736,"domain_scores_codex":[0.9987976,0.0001208971,0.0001718189,0.0002874476,0.0003356814,0.0002865389],"domain_scores_gemma":[0.9995744,0.00002448223,0.00004857988,0.0002303296,0.0000111888,0.0001110262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002880267,0.00002660757,0.9604097,0.000003916599,0.000009529324,0.0003095035,0.01213268,0.002141078,0.000002314996,0.00004114718,0.0231255,0.001769232],"study_design_scores_gemma":[0.0003408942,0.0001065706,0.9939324,0.000005902721,0.00001182085,0.0001582181,0.002385472,0.0002543091,0.00001232973,0.0002314753,0.002397078,0.0001635898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997063,0.00001611637,0.000002423853,0.001322068,0.0002042921,0.0008189617,0.000001943564,0.00001670025,0.0005545091],"genre_scores_gemma":[0.9990377,2.794632e-7,0.0001043984,0.0003454781,0.0001026392,0.00005269005,0.000002453103,0.00001107677,0.0003433312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05413017,"threshold_uncertainty_score":0.4514033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609427819497169,"score_gpt":0.2774153652238612,"score_spread":0.2513210870288896,"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."}}