{"id":"W2131801173","doi":"10.1093/jpe/rts016","title":"Canopy gap size influences niche partitioning of the ground-layer plant community in a northern temperate forest","year":2012,"lang":"en","type":"article","venue":"Journal of Plant Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Resources Conservation Service","keywords":"Understory; Temperate climate; Transect; Canopy; Ecology; Abundance (ecology); Temperate forest; Community structure; Niche; Environmental science; Temperate rainforest; Biology; Ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004795141,0.0001885217,0.0002518407,0.0003609109,0.0003758639,0.0006356691,0.0001942352,0.00021015,0.0005638588],"category_scores_gemma":[0.0008206951,0.0001647494,0.0001515604,0.0002250425,0.0003735231,0.0003883231,0.0004778643,0.0001782083,0.0000731809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785188,"about_ca_system_score_gemma":0.00024529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063515,"about_ca_topic_score_gemma":0.02978364,"domain_scores_codex":[0.9997436,0.00007403442,0.00001428004,0.0000928751,0.00002616065,0.0000489234],"domain_scores_gemma":[0.999465,0.0001699429,0.0001386773,0.00004335232,0.0000374401,0.0001455248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007514062,0.0001573859,0.9057017,0.00004917653,0.00008382683,0.0001527525,0.001833231,0.0004985579,0.08471882,0.0001251212,0.00006412104,0.005863997],"study_design_scores_gemma":[0.000003672135,0.00007827843,0.9985809,0.00000312054,0.000009088604,0.00004740891,0.0003521758,0.0005516446,0.0002379762,0.00003438096,0.00009850428,0.000002985735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999022,0.00002038271,0.0000204624,0.00000113722,1.569582e-7,6.36042e-7,0.00000935862,9.451276e-7,0.00004466536],"genre_scores_gemma":[0.9998044,0.00001843855,0.00007627342,0.000004422628,5.087149e-7,0.000002350917,0.00004754102,0.000001194337,0.00004477525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063515,"threshold_uncertainty_score":0.02114648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473325538501096,"score_gpt":0.2472982135088896,"score_spread":0.2225649581238786,"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."}}