{"id":"W2754460627","doi":"10.1111/ddi.12632","title":"Rapoport's rule and determinants of species range size in snakes","year":2017,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Leverhulme Trust; Rufford Foundation; National Science Foundation","keywords":"Range (aeronautics); Ecology; Altitude (triangle); Latitude; Habitat; Bergmann's rule; Biology; Ecological niche; Sample size determination; Taxonomic rank; Macroecology; Biogeography; Geography; Taxon; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009535521,0.0001707212,0.0003589019,0.0007397672,0.0002857456,0.0006659117,0.0003508018,0.0002195902,0.001160374],"category_scores_gemma":[0.004710925,0.0001613929,0.0004277448,0.0004488375,0.0006888201,0.0003607228,0.0004129701,0.0003040374,0.000166429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008306775,"about_ca_system_score_gemma":0.0001103328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005964817,"about_ca_topic_score_gemma":0.001035427,"domain_scores_codex":[0.9995604,0.0001424193,0.00003640858,0.0001613919,0.0000691243,0.00003020882],"domain_scores_gemma":[0.9951248,0.002627417,0.001338059,0.0004033565,0.0002997257,0.0002066842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007136031,0.00001599081,0.9858671,0.00002981787,0.0001214701,0.0001345158,0.0003113176,0.003756358,0.001890966,0.0006638619,0.0001322067,0.007004995],"study_design_scores_gemma":[0.000005460121,0.00005873302,0.9798034,0.00001690666,0.00004383799,0.0009979126,0.0002707269,0.01502741,0.000548831,0.002845958,0.0003649637,0.00001569006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970821,0.000116604,0.00207295,0.00002148717,0.00000234864,0.000002407409,0.00006648291,0.00001461782,0.0006210877],"genre_scores_gemma":[0.9993148,0.00002052273,0.0005365947,0.000003870804,0.000002217859,0.000003301931,0.00007298942,0.000003637831,0.00004208369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160374,"threshold_uncertainty_score":0.00504297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960223636444611,"score_gpt":0.2486935736681771,"score_spread":0.209091337303731,"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."}}