{"id":"W6962101637","doi":"10.15468/dl.pkexnr","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; The Internet","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":[0.001002287,0.001931214,0.001552408,0.005009747,0.001018276,0.002651604,0.00273355,0.002085814,0.1672461],"category_scores_gemma":[0.006417337,0.0008945398,0.001262801,0.009337752,0.0004354369,0.002394461,0.00254398,0.001988571,0.2281287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157798,"about_ca_system_score_gemma":0.002345783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135498,"about_ca_topic_score_gemma":0.03319105,"domain_scores_codex":[0.9989696,0.0001430491,0.0001287676,0.0003627065,0.0002258403,0.0001701569],"domain_scores_gemma":[0.9973786,0.0008041749,0.0002233686,0.0006656314,0.0006451936,0.0002829542],"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":[0.00002766941,0.00001153188,0.0003747879,0.0005385085,0.00001386037,0.00001572687,0.00002261963,0.000113807,0.0001108639,0.0003534526,0.9970071,0.001410244],"study_design_scores_gemma":[0.00007173122,0.000008962253,0.001905651,0.0002142747,0.00001477934,0.0000378623,0.00007818608,0.0001675269,0.0001895413,0.0007759561,0.9965177,0.00001782102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000436333,0.00002784433,0.00004508965,0.00004272957,0.00001351871,0.000006070615,0.9987363,0.0004287979,0.0006560671],"genre_scores_gemma":[0.0001652583,0.00003522079,0.0002014824,0.00005169544,0.000004124942,0.00004773866,0.9988373,0.0001635399,0.000493768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327539,"threshold_uncertainty_score":0.5594938,"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."}}