{"id":"W2887685861","doi":"10.3389/fpls.2018.01145","title":"Conifer Regeneration After Experimental Shelterwood and Seed-Tree Treatments in Boreal Forests: Finding Silvicultural Alternatives","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université du Québec à Chicoutimi","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Abies balsamea; Black spruce; Balsam; Regeneration (biology); Taiga; Environmental science; Scarification; Silviculture; Agroforestry; Forestry; Temperate rainforest; Biology; Agronomy; Ecology; Botany; Ecosystem; Geography; Germination","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518099,0.0001054325,0.0001213867,0.00004733993,0.0002941457,0.00005462404,0.0001672211,0.00004778209,0.00001435367],"category_scores_gemma":[0.00001869302,0.00004387732,0.00001672992,0.0002618286,0.00072806,0.0003840977,0.0001130875,0.00005511009,0.000005077245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009382854,"about_ca_system_score_gemma":0.000006721353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002339305,"about_ca_topic_score_gemma":0.004302254,"domain_scores_codex":[0.9991171,0.00002777328,0.0001122339,0.0003216623,0.0001441517,0.000277053],"domain_scores_gemma":[0.9998457,0.00002212569,0.00003794788,0.00002643021,0.00001997166,0.00004778743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007796854,0.00004907666,0.9918112,7.924528e-7,0.000004898275,0.00002014342,0.001042917,5.349327e-7,0.005621953,0.00003013287,0.0003573896,0.0009830019],"study_design_scores_gemma":[0.0002577583,0.0002892431,0.9860439,0.00001648779,0.000002968013,0.000006928727,0.00178073,0.0003570456,0.01093025,0.0001136653,0.0000934485,0.0001075441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985726,0.0002112048,0.000001722853,0.0002466649,0.0003577936,0.0001397091,0.00005359307,0.00001125833,0.0004054418],"genre_scores_gemma":[0.9993282,0.00003920144,0.0003431199,0.00008514545,0.00006671067,0.00001363687,0.00002367414,2.609127e-7,0.0001000737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005767263,"threshold_uncertainty_score":0.2682568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439957080350372,"score_gpt":0.223647411998771,"score_spread":0.2092478411952672,"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."}}