{"id":"W2035455019","doi":"10.1016/j.foreco.2007.12.032","title":"The effects of partial harvest on the understory vegetation of southern Ontario woodlands","year":2008,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Ministry of Natural Resources and Forestry","funders":"","keywords":"Understory; Species richness; Vegetation (pathology); Ecology; Ordination; Basal area; Woodland; Geography; Species diversity; Microclimate; Agroforestry; Forest management; Habitat; Environmental science; Canopy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002147603,0.0001167164,0.0001714736,0.0002551078,0.001110021,0.0006013649,0.0002279009,0.0001564372,0.002224324],"category_scores_gemma":[0.001266574,0.0001469389,0.0001319505,0.0003931933,0.0006576185,0.0002960135,0.0004565474,0.000190618,0.0001178122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003488886,"about_ca_system_score_gemma":0.002386592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6887993,"about_ca_topic_score_gemma":0.9571523,"domain_scores_codex":[0.9998657,0.00002241413,0.000005786597,0.00001934361,0.00003560482,0.00005107943],"domain_scores_gemma":[0.9991228,0.0001997964,0.0001375393,0.00004824976,0.000172648,0.0003188992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00119655,0.00007630898,0.976873,0.00004855766,0.00009173073,0.0002354929,0.003051262,0.0006711084,0.005883588,0.00031679,0.0007283171,0.01082726],"study_design_scores_gemma":[0.000001921284,0.00001485981,0.9990734,0.000001875357,0.000004682327,0.00001339903,0.0005564492,0.00006336998,0.00004761057,0.00001931669,0.000202019,0.00000115127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999183,0.00004639507,0.000009244487,0.00001885276,7.197742e-7,0.00000131201,0.00008410834,6.729039e-7,0.0006557274],"genre_scores_gemma":[0.9989433,0.00005278282,0.0000247897,0.00001119516,0.000001111918,0.000002022531,0.0001078713,0.00000124942,0.0008557016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112007,"threshold_uncertainty_score":0.6260668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945554369397975,"score_gpt":0.1815680560957879,"score_spread":0.17462250172639,"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."}}