{"id":"W2762432338","doi":"10.5849/fs-2017-062r2","title":"Ground-Layer Composition May Limit the Positive Impact of Precommercial Thinning on Boreal Stand Productivity","year":2017,"lang":"en","type":"article","venue":"Forest Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Thinning; Forestry; Taiga; Productivity; Boreal; Environmental science; Ecology; Biology; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007577334,0.00009522311,0.0001168903,0.000008802496,0.0016941,0.0002610871,0.0006716788,0.00003544439,0.00002070814],"category_scores_gemma":[0.0001726655,0.0000287503,0.00009125296,0.0001369346,0.0009413058,0.000447899,0.0001524103,0.0001282737,0.000003793494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005581848,"about_ca_system_score_gemma":0.00003238706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707665,"about_ca_topic_score_gemma":0.001250616,"domain_scores_codex":[0.9989824,0.00004984341,0.0001183378,0.0002874103,0.0003279973,0.0002340655],"domain_scores_gemma":[0.9993441,0.0001380728,0.000153303,0.0001887321,0.0001194868,0.00005627926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006370035,0.000473863,0.7282011,0.000007186143,0.00001838751,0.000003988274,0.001231267,0.000282349,0.1867534,0.007413499,0.0003613326,0.07461663],"study_design_scores_gemma":[0.00005332409,0.0004331739,0.9929081,0.00002723877,0.000004246602,0.000002476116,0.00004665331,0.0003427145,0.004743918,0.001339343,0.00002511189,0.00007371284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946138,0.00001010755,0.000005812008,0.002010444,0.0001659599,0.0001926734,0.00004490963,0.00001463513,0.002941706],"genre_scores_gemma":[0.9997429,0.000002424928,0.0000104331,0.00003235945,0.0001641083,0.000003730811,0.000005793665,4.261979e-7,0.0000377944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.264707,"threshold_uncertainty_score":0.9996055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472178817042869,"score_gpt":0.3116767128583518,"score_spread":0.2644588311540649,"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."}}