{"id":"W6887115915","doi":"10.15468/dl.mwtwfz","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Dreissena","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025817,0.001928053,0.001677138,0.005353885,0.0009323455,0.00257189,0.002754633,0.002017689,0.1801992],"category_scores_gemma":[0.00643939,0.0009296551,0.00119564,0.01048626,0.0004390544,0.002215733,0.002588754,0.001881385,0.2276915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582616,"about_ca_system_score_gemma":0.00232916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066771,"about_ca_topic_score_gemma":0.03192139,"domain_scores_codex":[0.9989238,0.0001361214,0.0001498467,0.000369263,0.0002360044,0.0001849178],"domain_scores_gemma":[0.9973745,0.0007445604,0.000262718,0.0006615926,0.0006516083,0.0003049844],"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":[0.00003130872,0.00001038227,0.000379803,0.0006651322,0.0000169246,0.00001581892,0.00002213237,0.0001239872,0.0001292865,0.0003712317,0.9968089,0.001425106],"study_design_scores_gemma":[0.00008384672,0.000008640223,0.002022688,0.0002195196,0.00001680902,0.00003693246,0.00006468485,0.0001340248,0.0001980784,0.0007239722,0.9964722,0.00001851841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003260322,0.00002303963,0.00003535875,0.00002760982,0.00000986384,0.000004795708,0.9990261,0.0003066769,0.0005339779],"genre_scores_gemma":[0.000145439,0.00003126897,0.0001657343,0.00004187348,0.000003332968,0.00003976827,0.9990463,0.0001284636,0.0003977396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8198009,"threshold_uncertainty_score":0.6028263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}