{"id":"W6943523169","doi":"10.15468/dl.rscpgd","title":"Occurrence Download","year":2023,"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); Alien; R package","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":[0.001027447,0.001948455,0.001625504,0.005096931,0.001000436,0.002614422,0.002836191,0.002137088,0.1634996],"category_scores_gemma":[0.006175579,0.0009268916,0.001255976,0.01013456,0.0004522883,0.002445545,0.002545424,0.002070342,0.2275312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164013,"about_ca_system_score_gemma":0.002395141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317658,"about_ca_topic_score_gemma":0.03739184,"domain_scores_codex":[0.9988789,0.0001593083,0.0001451777,0.0003908289,0.0002428335,0.0001830199],"domain_scores_gemma":[0.9972513,0.0007849833,0.0002531772,0.0007229004,0.00068862,0.0002990046],"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":[0.00002741711,0.00001100998,0.0003449353,0.0005136321,0.00001447989,0.00001344402,0.00002190014,0.0001193673,0.00009904988,0.000365892,0.9971449,0.001323947],"study_design_scores_gemma":[0.00007002529,0.000007907977,0.001814813,0.0001951001,0.00001433047,0.00003361642,0.00007290303,0.0001386975,0.0001727417,0.0008226301,0.9966394,0.00001782733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000351348,0.00002415435,0.00003932832,0.0000346873,0.00001116561,0.000004869959,0.9989616,0.0003125906,0.0005764646],"genre_scores_gemma":[0.0001432931,0.0000326583,0.0001827181,0.00004481704,0.000003383347,0.00004003322,0.9989707,0.000131338,0.0004510038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365004,"threshold_uncertainty_score":0.5469606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}