{"id":"W6887121311","doi":"10.15468/dl.nrae2m","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; Matching (statistics); Range (aeronautics); Clupea; Confidentiality","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":[0.001006011,0.002034067,0.001694324,0.005597649,0.0009419431,0.002533582,0.002932924,0.002052822,0.1526504],"category_scores_gemma":[0.005806186,0.0009244063,0.001178966,0.01074101,0.0004516446,0.002156343,0.002574496,0.00198471,0.2077991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167022,"about_ca_system_score_gemma":0.002417955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160579,"about_ca_topic_score_gemma":0.03559354,"domain_scores_codex":[0.9988604,0.0001524554,0.000154049,0.0003820981,0.0002606136,0.0001903625],"domain_scores_gemma":[0.9973694,0.0006795489,0.000265835,0.0007102451,0.0006560423,0.0003189026],"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":[0.00003465879,0.00001223182,0.0003820545,0.0005861913,0.00001703221,0.00001520521,0.00002230142,0.0001337661,0.0001324791,0.0003750584,0.9967754,0.0015135],"study_design_scores_gemma":[0.0000802353,0.000008570268,0.001985028,0.0001895718,0.00001557574,0.00003665478,0.00006424979,0.0001430615,0.000207753,0.0006941658,0.9965574,0.00001781211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003839506,0.00002495788,0.00003305993,0.00002954776,0.000009256766,0.000004886685,0.9990324,0.0002968501,0.000530692],"genre_scores_gemma":[0.0001447786,0.00002995061,0.0001586613,0.00003725864,0.000002910642,0.00003619364,0.9990777,0.00010925,0.0004032477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8473496,"threshold_uncertainty_score":0.5106666,"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."}}