{"id":"W2884573564","doi":"10.22215/etd/2016-11481","title":"Effects of Landscape Compositional and Configurational Heterogeneity on Biodiversity in Eastern Ontario Farmland","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biodiversity; Geography; Abundance (ecology); Habitat; Land cover; Ecology; Land use; Land management; Environmental resource management; Agroforestry; Environmental science; 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":[0.0003025171,0.0001313073,0.0002149978,0.0006442011,0.0009445318,0.0008717407,0.0003970107,0.0001447398,0.00118535],"category_scores_gemma":[0.001631526,0.0001667339,0.0002270585,0.00130386,0.0007726807,0.0002989689,0.000544469,0.0001328387,0.00007261622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007464288,"about_ca_system_score_gemma":0.003319324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.860986,"about_ca_topic_score_gemma":0.9712654,"domain_scores_codex":[0.9996232,0.00004551732,0.00001717218,0.00008615932,0.0001299442,0.0000981148],"domain_scores_gemma":[0.9988766,0.000193299,0.0003819467,0.0000765757,0.0002829817,0.0001885212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008345502,0.00001336522,0.9926838,0.00002077879,0.00006579974,0.00009136557,0.0007977902,0.0006197472,0.001229016,0.0001140256,0.0002087111,0.004072047],"study_design_scores_gemma":[7.881611e-7,0.00000534993,0.9993458,0.000002564774,0.000004306681,0.000009164964,0.0003383437,0.0001487777,0.00001960192,0.00001107018,0.0001127607,0.00000144489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989597,0.00004809773,0.00004296545,0.00001960311,6.718648e-7,0.00000515984,0.0001599762,0.000001914321,0.0007618564],"genre_scores_gemma":[0.9995288,0.00003053368,0.00005518468,0.00000522428,6.168437e-7,0.000003890279,0.0001001753,0.000001289465,0.0002742567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139014,"threshold_uncertainty_score":0.2796654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005643845893202808,"score_gpt":0.2109425186901124,"score_spread":0.2052986727969096,"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."}}