{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210291,0.0001443468,0.0001956506,0.0005374569,0.0002628657,0.0004549484,0.0002369683,0.0002239323,0.001571081],"category_scores_gemma":[0.002756699,0.0001816092,0.000286716,0.0003313623,0.0007594089,0.0002736616,0.0004399136,0.0002292288,0.0001732921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280475,"about_ca_system_score_gemma":0.0001655107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070287,"about_ca_topic_score_gemma":0.02347567,"domain_scores_codex":[0.9998693,0.00003559843,0.000005382397,0.00003841638,0.00002323676,0.00002799023],"domain_scores_gemma":[0.9985672,0.0006271192,0.0003767194,0.0001745458,0.00009536848,0.0001590152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007733078,0.00001432092,0.9896902,0.00001410459,0.00007848656,0.00006763764,0.0002227393,0.001317065,0.002699367,0.0003347588,0.0001338196,0.005350145],"study_design_scores_gemma":[0.000002154793,0.000009828706,0.9977173,0.000001701116,0.000008177,0.00004244124,0.00004398535,0.001759801,0.00005381253,0.0003175289,0.00004100511,0.00000230767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985676,0.00008039761,0.0006315945,0.00002467953,0.000001090543,0.000002438018,0.00002926988,0.0000122001,0.0006506133],"genre_scores_gemma":[0.9997711,0.000009485525,0.0001264301,0.000004224659,0.00000173957,0.000001010259,0.00002595389,0.000003127967,0.00005687859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070287,"threshold_uncertainty_score":0.02128118,"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."}}