{"id":"W4393545802","doi":"10.5281/zenodo.6421013","title":"EWINA_RICH : a database of EarthWorm native and alien species richness accross North America","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alien; Species richness; Earthworm; Geography; Alien species; Biology; Ecology; Introduced species; Demography; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496468,0.0007123384,0.0007337777,0.004486429,0.0003172156,0.001009479,0.0009019283,0.0003730817,0.01800771],"category_scores_gemma":[0.002589634,0.0005150923,0.0004405355,0.00824606,0.0001439887,0.001186876,0.001319825,0.0004772446,0.006383081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008494164,"about_ca_system_score_gemma":0.001291784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1408662,"about_ca_topic_score_gemma":0.1776508,"domain_scores_codex":[0.9995807,0.00004676725,0.00007787904,0.0001270148,0.0001109259,0.00005669853],"domain_scores_gemma":[0.9977799,0.0003312432,0.0005269211,0.0002987816,0.0008312829,0.0002318069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004019431,0.000147704,0.2092796,0.003218121,0.0005627307,0.0002280491,0.0007718014,0.003030823,0.001887055,0.001503462,0.7287395,0.05022912],"study_design_scores_gemma":[0.0001126814,0.00003310939,0.4881282,0.0004787188,0.0001209374,0.0001061534,0.0008058755,0.001335652,0.0008995023,0.0005142473,0.5073993,0.00006566283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01106899,0.0001957219,0.0003236621,0.00003269716,0.000009741002,0.0000375226,0.9847283,0.0004209747,0.003182416],"genre_scores_gemma":[0.01686114,0.000239594,0.00145589,0.0000459273,0.000009547115,0.0002298718,0.9792716,0.0001063621,0.001780116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8591338,"threshold_uncertainty_score":0.2800925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805049315700135,"score_gpt":0.2486630675777753,"score_spread":0.210612574420774,"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."}}