{"id":"W6906031200","doi":"10.15468/dl.znqcg9","title":"Occurrence Download","year":2022,"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; State (computer science)","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":[0.0009734774,0.001960941,0.001531072,0.004884112,0.0009865673,0.002571552,0.002636659,0.002042291,0.1579963],"category_scores_gemma":[0.00598924,0.0008803973,0.001237631,0.009117548,0.0004493561,0.002313747,0.002568911,0.001943512,0.2281048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514789,"about_ca_system_score_gemma":0.002281646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072722,"about_ca_topic_score_gemma":0.03281061,"domain_scores_codex":[0.9989808,0.0001415704,0.0001268457,0.0003620553,0.0002191313,0.0001696058],"domain_scores_gemma":[0.9975263,0.0007155583,0.0002223861,0.0006425575,0.0006072334,0.0002859442],"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":[0.00002746245,0.00001149752,0.0003929391,0.0005154227,0.00001365716,0.00001437106,0.00002244237,0.0001182515,0.0001125792,0.0003332759,0.9970266,0.001411462],"study_design_scores_gemma":[0.00007272176,0.000009462791,0.002019232,0.0002027963,0.00001461634,0.00003788819,0.00008088087,0.0001641364,0.0001879818,0.0007295075,0.9964632,0.00001742493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004726564,0.00002929922,0.00004400234,0.00004127858,0.00001447818,0.000005751674,0.9987776,0.0004072972,0.000632963],"genre_scores_gemma":[0.0001709802,0.0000352554,0.0001959221,0.00005093868,0.000004265645,0.00004358825,0.9988589,0.0001502724,0.0004899331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8420037,"threshold_uncertainty_score":0.5285502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}