{"id":"W1968495384","doi":"10.1139/x04-019","title":"<i>Quercus michauxii</i> regeneration in and around aging canopy gaps","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Georgia; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Canopy; Seedling; Environmental science; Growing season; Tree canopy; Understory; Biology; Ecology; Agronomy","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":[0.0001369747,0.0001214507,0.0001017172,0.0002421368,0.0004572703,0.000233161,0.0001463203,0.00007895141,0.0006817394],"category_scores_gemma":[0.0001809166,0.00007039792,0.00006551434,0.0001202443,0.0002061697,0.0001815751,0.0002453093,0.0001469948,0.0001011655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608578,"about_ca_system_score_gemma":0.0001888747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243754,"about_ca_topic_score_gemma":0.08228979,"domain_scores_codex":[0.9999459,0.000005836957,0.000002866159,0.0000189247,0.00001104424,0.00001537696],"domain_scores_gemma":[0.9997817,0.00002085774,0.00007926546,0.00001336985,0.00003139867,0.0000735137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003471497,0.0001028905,0.8599748,0.0000260912,0.00001662582,0.0004682388,0.000715603,0.000217419,0.1299617,0.000134009,0.0001363359,0.007899127],"study_design_scores_gemma":[0.000001844724,0.00005982156,0.9981704,0.000001283484,0.000002003604,0.0001403762,0.0001328796,0.0000848284,0.001181412,0.00001959898,0.0002039911,0.000001581824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997972,0.00001562697,0.00002035024,0.000002105762,3.440767e-7,0.000001370222,0.00001922081,0.000001477682,0.000142251],"genre_scores_gemma":[0.9994442,0.00001174839,0.0001160455,0.00000528485,6.273577e-7,0.000002425583,0.00007253081,0.000001013429,0.0003461546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243754,"threshold_uncertainty_score":0.02473032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448866662259447,"score_gpt":0.2902592960527574,"score_spread":0.2657706294301629,"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."}}