{"id":"W1597187406","doi":"10.1002/ece3.45","title":"Body mass explains characteristic scales of habitat selection in terrestrial mammals","year":2011,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bamfield Marine Sciences Centre; Alberta Innovates; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Alberta Innovates; Alberta Innovates - Technology Futures; Foundation for North American Wild Sheep; Alberta Conservation Association","keywords":"Habitat; Ecology; Sympatric speciation; Niche; Adaptation (eye); Spatial ecology; Selection (genetic algorithm); Scale (ratio); Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454052,0.00005970824,0.0001030445,0.00005125443,0.00007403683,0.00000163358,0.00004504975,0.0001402463,0.0003298607],"category_scores_gemma":[0.00007134752,0.00006154992,0.00001539366,0.0000981832,0.0001712211,0.0001727849,0.00002442478,0.00008040439,0.00007140156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008481405,"about_ca_system_score_gemma":0.000009796559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001769001,"about_ca_topic_score_gemma":0.004129086,"domain_scores_codex":[0.999386,0.0001054017,0.0001806237,0.0001500076,0.0000378335,0.0001401147],"domain_scores_gemma":[0.9998014,0.00004633853,0.00008383614,0.00004181343,0.000002585036,0.00002404257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261493,0.000063229,0.992225,0.00000248632,0.00000389565,0.000001773652,0.0001198991,0.000008369164,0.00692919,0.000233596,0.0001601463,0.0001262803],"study_design_scores_gemma":[0.0003347321,0.0001747778,0.9951386,0.000003447072,0.000007794237,0.000006922578,0.00003576879,0.0007571049,0.0002100905,0.003248058,0.00002426163,0.00005836771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983251,0.000007013732,0.0003155364,0.00009839072,0.0002000794,0.0001205358,0.000001254071,0.00001263092,0.0009194766],"genre_scores_gemma":[0.9994993,0.000008837806,0.0003024882,0.0000466758,0.0000279151,0.00002512011,0.00000495018,0.000002832006,0.00008190762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0067191,"threshold_uncertainty_score":0.3611743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271413682069252,"score_gpt":0.204953379307049,"score_spread":0.1922392424863565,"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."}}