{"id":"W6962504185","doi":"10.15468/dl.wu7xbm","title":"Occurrence Download","year":2021,"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; Extant taxon; Matching (statistics); Range (aeronautics); Natural (archaeology)","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":[0.001162512,0.002210419,0.001897718,0.006254836,0.001220441,0.00344226,0.003169659,0.00211675,0.2389035],"category_scores_gemma":[0.007884192,0.001170162,0.001518697,0.01224957,0.0004739553,0.003123556,0.003231514,0.002130578,0.3210594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680651,"about_ca_system_score_gemma":0.002448775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933541,"about_ca_topic_score_gemma":0.02962317,"domain_scores_codex":[0.9987335,0.0001562609,0.0001751281,0.0004665366,0.00025768,0.0002109794],"domain_scores_gemma":[0.9969921,0.0008692141,0.0002427738,0.0007924511,0.0007993411,0.0003039507],"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":[0.00002984782,0.000008986573,0.0003309584,0.0006532241,0.00001533803,0.00001473426,0.00002559473,0.00009354941,0.000101131,0.0003598586,0.9966627,0.001704061],"study_design_scores_gemma":[0.00006319652,0.000007286257,0.001319339,0.0002014766,0.00001431553,0.00003394549,0.00007381259,0.0001079862,0.0001546237,0.0007633279,0.9972436,0.00001697636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002931294,0.00002510303,0.00004980174,0.00003096586,0.00001204609,0.000005854705,0.9986987,0.000478283,0.0006699978],"genre_scores_gemma":[0.0001373008,0.00004032451,0.0002458305,0.00004809083,0.000004310442,0.00005860069,0.9986279,0.0002749538,0.0005627112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2389035,"threshold_uncertainty_score":0.7992118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}