{"id":"W2085879560","doi":"10.1046/j.1466-822x.2002.00292.x","title":"On the determinants of census area: implications for mammalian macroecological patterns","year":2002,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Census; Geography; Trophic level; Temperate rainforest; Temperate climate; Population; Biology; Physical geography; Demography; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003718879,0.0001929779,0.0003241428,0.001435398,0.0002419201,0.000801183,0.0004998654,0.0002737454,0.003085264],"category_scores_gemma":[0.02962275,0.0001475289,0.0004594062,0.002769447,0.0006108275,0.0007712627,0.0004342356,0.00036859,0.0003324116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130762,"about_ca_system_score_gemma":0.0003601603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007095088,"about_ca_topic_score_gemma":0.006470843,"domain_scores_codex":[0.9978606,0.001423819,0.0001314404,0.0003176454,0.0001807984,0.00008569408],"domain_scores_gemma":[0.9554046,0.03402623,0.006061114,0.001699486,0.001637806,0.001170761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003075249,0.000009863021,0.9959686,0.00001197583,0.00007930706,0.00002088667,0.00009537299,0.0002738322,0.0001141677,0.000190383,0.00007582956,0.003129063],"study_design_scores_gemma":[0.000001353143,0.00001538522,0.998172,0.000005219821,0.00001552288,0.00003025976,0.0001291167,0.001354183,0.00002895136,0.0001490694,0.00009609428,0.000002789262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943839,0.0008791086,0.00239443,0.0002225841,0.000012979,0.00001269921,0.0005341586,0.00001837212,0.001541689],"genre_scores_gemma":[0.9994372,0.00007955981,0.0002488368,0.00001037633,0.00001037015,0.00000493783,0.00013086,0.000006353859,0.0000714726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007095088,"threshold_uncertainty_score":0.01966757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095364836645892,"score_gpt":0.2358421153450109,"score_spread":0.214888466978552,"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."}}