{"id":"W6887077117","doi":"10.15468/dl.puy8ec","title":"Occurrence Download","year":2020,"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); Data access; Information system","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":[0.0009671167,0.001834049,0.001393545,0.004722597,0.0009093345,0.002231805,0.002775504,0.002005305,0.1190697],"category_scores_gemma":[0.005356933,0.0008285168,0.001103728,0.009388164,0.0004495314,0.002078367,0.002277516,0.001853467,0.1689548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600075,"about_ca_system_score_gemma":0.002222161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195268,"about_ca_topic_score_gemma":0.03536214,"domain_scores_codex":[0.9990736,0.0001257373,0.0001227204,0.0003153589,0.0002083191,0.000154296],"domain_scores_gemma":[0.9977622,0.0006082743,0.0002222302,0.000595263,0.0005406996,0.0002713751],"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":[0.00003313786,0.00001412529,0.0004581799,0.0005265952,0.00001532473,0.00001726318,0.00002549299,0.0001656443,0.0001420301,0.0003895911,0.9966502,0.001562449],"study_design_scores_gemma":[0.00007561967,0.000009778136,0.002461888,0.0001877893,0.00001518082,0.00004256276,0.0000822087,0.0001999205,0.000225862,0.000736054,0.9959443,0.00001886618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005394528,0.00002590671,0.00004114953,0.00003413156,0.000011988,0.000005125488,0.9989411,0.0003230774,0.0005635161],"genre_scores_gemma":[0.0001666013,0.00002704429,0.0001803932,0.0000365268,0.000003031971,0.000035598,0.9990632,0.00009828659,0.0003892808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8809304,"threshold_uncertainty_score":0.3983277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}