{"id":"W4253587865","doi":"10.22215/etd/2015-11085","title":"Effects of Farmland Heterogeneity on Bat Species Richness and Abundance in Agricultural Eastern Ontario","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Species richness; Foraging; Abundance (ecology); Habitat; Ecology; Fragmentation (computing); Spatial heterogeneity; Geography; Agriculture; Species diversity; Habitat fragmentation; Predation; Biodiversity; Biology; Agroforestry","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":[0.0002630248,0.0001169197,0.0002047938,0.0005140878,0.001199641,0.0007703956,0.0003264762,0.0001232485,0.001564059],"category_scores_gemma":[0.001118033,0.0002074151,0.0001731207,0.0008781185,0.0007275452,0.0002809801,0.0005137392,0.0001455879,0.0001100842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008826327,"about_ca_system_score_gemma":0.003426683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9208253,"about_ca_topic_score_gemma":0.9833151,"domain_scores_codex":[0.9997009,0.00003250875,0.00001259749,0.00007487497,0.00007612172,0.0001029071],"domain_scores_gemma":[0.9990085,0.0002033538,0.0002557773,0.00004187174,0.0002299178,0.0002606135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001321584,0.00001599528,0.9927415,0.00001870411,0.00004151144,0.0001186203,0.001468192,0.0003184783,0.001796723,0.00008691506,0.0002312485,0.003029977],"study_design_scores_gemma":[0.000001480866,0.000005295638,0.9991282,0.00000253451,0.000004654832,0.00001151951,0.0005871725,0.0000876729,0.00003011329,0.00001254959,0.0001276665,0.000001220306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989504,0.00004635977,0.00002597283,0.00002539003,5.683499e-7,0.00000336728,0.0001607228,0.000001454497,0.0007857525],"genre_scores_gemma":[0.999391,0.0000482902,0.00003864966,0.000007082252,6.234822e-7,0.000003335848,0.0001034967,0.000001396875,0.0004061834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0791747,"threshold_uncertainty_score":0.1592819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734852188915519,"score_gpt":0.2241863520884944,"score_spread":0.2068378301993392,"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."}}