{"id":"W4255824670","doi":"10.21203/rs.3.rs-75638/v1","title":"Distance to native niche margins explains establishment success of alienmammals","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Niche; Alien species; Ecology; Matching (statistics); Environmental niche modelling; Mammal; Range (aeronautics); Ecological niche; Introduced species; Margin (machine learning); Geography; Invasive species; Alien; Biology; Computer science; Habitat; Statistics; Demography; Engineering","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":[0.0009690671,0.0002821519,0.0003433319,0.0006218271,0.0005007496,0.001327866,0.0005706226,0.0006719416,0.01242258],"category_scores_gemma":[0.004810439,0.0002352412,0.0005305265,0.0005020603,0.0005801675,0.0006964122,0.0008146274,0.0006361394,0.001096346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656461,"about_ca_system_score_gemma":0.0001879776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005329953,"about_ca_topic_score_gemma":0.009551686,"domain_scores_codex":[0.9995453,0.0001547876,0.00001674392,0.000154336,0.00003490287,0.00009383618],"domain_scores_gemma":[0.9941838,0.003235809,0.000975073,0.0004523048,0.0001733178,0.0009797701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002444649,0.00006092952,0.9916747,0.00002480972,0.000157189,0.0001511081,0.0004734914,0.0004427495,0.00270115,0.0002885064,0.0002718439,0.003509027],"study_design_scores_gemma":[0.000007503626,0.00004103784,0.9955658,0.00001106515,0.00007744975,0.0001470266,0.0007633809,0.002245895,0.0002966462,0.0004568655,0.0003801094,0.000007258234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999009,0.00008755201,0.0001240541,0.00004701308,0.000004736918,7.10254e-7,0.00007117676,0.000004833193,0.0006509629],"genre_scores_gemma":[0.9994369,0.00002269208,0.00004316064,0.000008554911,0.000007580893,8.250005e-7,0.00006955142,0.000006224958,0.0004045122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242258,"threshold_uncertainty_score":0.04155773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087750344445755,"score_gpt":0.3931193078173896,"score_spread":0.2843442733728141,"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."}}