{"id":"W4206756051","doi":"10.1016/j.dib.2022.107821","title":"Dataset on European diadromous species distributions from 1750 to present time in Europe, North Africa and the Middle East","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gobierno de Navarra; Universidad de Córdoba; Interreg; Ministerio para la Transición Ecológica y el Reto Demográfico; Xunta de Galicia; Department of Agriculture, Environment and Rural Affairs, UK Government; Universidad de Murcia; Generalitat de Catalunya; University of Victoria","keywords":"Fish migration; Population; Geography; Habitat; Drainage basin; Distribution (mathematics); Database; Ecology; Environmental resource management; Environmental science; Computer science; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007706482,0.000711226,0.0009379225,0.00325961,0.0002674986,0.000829624,0.001162092,0.0005621891,0.01669518],"category_scores_gemma":[0.003200205,0.0003460848,0.0006495871,0.005903007,0.0001603729,0.0007485732,0.0009481062,0.000547335,0.006617449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561636,"about_ca_system_score_gemma":0.0008288547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246662,"about_ca_topic_score_gemma":0.0209557,"domain_scores_codex":[0.9995486,0.00005495323,0.0001202398,0.0001487353,0.00007313634,0.00005426961],"domain_scores_gemma":[0.9985029,0.0003310415,0.0003201553,0.0001719607,0.0005584622,0.0001154992],"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":[0.0004115019,0.00008626642,0.07129741,0.002485856,0.0004288718,0.0004118375,0.0003610193,0.004551126,0.0009728993,0.002683288,0.8831867,0.03312322],"study_design_scores_gemma":[0.000274442,0.00003691934,0.2248111,0.0008877643,0.0001416495,0.0003687562,0.0004987759,0.002498199,0.0008770493,0.00181601,0.7677135,0.00007579823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006560991,0.0002303807,0.0007517365,0.0000644621,0.00002244116,0.00002331547,0.9910831,0.0001894249,0.001074102],"genre_scores_gemma":[0.01235051,0.0001636369,0.001521963,0.00005695293,0.00001076966,0.0001308642,0.9851534,0.00004670536,0.0005651802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02246662,"threshold_uncertainty_score":0.05585092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909696385248686,"score_gpt":0.210855638037086,"score_spread":0.1617586741845991,"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."}}