{"id":"W126848014","doi":"","title":"Spatially explicit null models in biogeography: Toward a multi-scale understanding of the niche.","year":2006,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Niche; Biogeography; Scale (ratio); Niche construction; Ecology; Computer science; Geography; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009003717,0.0008234343,0.001068477,0.001172181,0.000541868,0.002081333,0.002670285,0.001111676,0.001443269],"category_scores_gemma":[0.02254963,0.000716738,0.001698901,0.001112954,0.004574161,0.004640042,0.003013456,0.00300117,0.0002400187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008851839,"about_ca_system_score_gemma":0.001257278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527784,"about_ca_topic_score_gemma":0.003299986,"domain_scores_codex":[0.9977538,0.001643891,0.00007313587,0.0002539527,0.000217897,0.00005734121],"domain_scores_gemma":[0.97667,0.01847322,0.001929537,0.001751525,0.0005993185,0.0005763531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003709291,0.0000285601,0.01318151,0.0001533954,0.0001746427,0.000154817,0.0005469256,0.1696678,0.001021763,0.7988167,0.001228026,0.01498873],"study_design_scores_gemma":[0.0000112481,0.00003340796,0.001694113,0.00003867129,0.0000380549,0.00008591062,0.0001072326,0.4468527,0.0001932554,0.5478172,0.003105089,0.00002306584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02727744,0.0008351873,0.96853,0.001456965,0.00007596845,0.00001745827,0.0001778685,0.0001028261,0.00152611],"genre_scores_gemma":[0.6356266,0.002319547,0.3571086,0.0008840906,0.0003707962,0.0002927163,0.0004664847,0.0002198832,0.002711318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009003717,"threshold_uncertainty_score":0.04761678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864357653006549,"score_gpt":0.2198689450374666,"score_spread":0.1612253685074011,"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."}}