{"id":"W2729763793","doi":"10.1002/eap.1592","title":"Defaunation and habitat disturbance interact synergistically to alter seedling recruitment","year":2017,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canada Foundation for Innovation","keywords":"Defaunation; Biology; Seedling; Seed predation; Habitat; Ecology; Disturbance (geology); Logging; Habitat destruction; Seed dispersal; Herbivore; Predation; Agronomy; Population; Biological dispersal","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001966051,0.0002575191,0.0002423976,0.0002018477,0.0002635452,0.0003296231,0.0001744182,0.0001581096,0.001100195],"category_scores_gemma":[0.0003351868,0.0001316768,0.0001847521,0.000146186,0.0003534834,0.0001251738,0.0003678688,0.0002228908,0.00008468812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548683,"about_ca_system_score_gemma":0.0001928123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025023,"about_ca_topic_score_gemma":0.01629483,"domain_scores_codex":[0.9997957,0.00007790522,0.00001559822,0.00004116455,0.00002538092,0.00004426427],"domain_scores_gemma":[0.9995102,0.0001051653,0.0002061075,0.0000289077,0.00002183325,0.0001278018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006124972,0.0002013881,0.9287513,0.00008285478,0.0001344078,0.0002826628,0.0002315669,0.0003354396,0.06271768,0.00004947244,0.00006960437,0.006531036],"study_design_scores_gemma":[0.00000244257,0.000198077,0.9990705,0.000001612269,0.00001023955,0.00006913932,0.00007221655,0.0001109652,0.0003888957,0.000006785635,0.00006766756,0.000001615038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999719,0.00006170412,0.00002951496,0.000005956045,8.228859e-7,0.000002401226,0.00002966344,0.000002750012,0.0001481216],"genre_scores_gemma":[0.9996247,0.0000527651,0.0001385824,0.00001317198,0.000001194771,0.000004505645,0.0000576517,9.034756e-7,0.0001063818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0025023,"threshold_uncertainty_score":0.004975498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551784983698755,"score_gpt":0.2971245000852429,"score_spread":0.2616066502482554,"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."}}