{"id":"W6887172059","doi":"10.15468/dl.tkj3e8","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; Data set","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":[0.0009109725,0.001969547,0.001546611,0.00510129,0.0009848614,0.002451049,0.002642794,0.002038423,0.157835],"category_scores_gemma":[0.005565833,0.0008600996,0.001218757,0.009614572,0.0004453922,0.002239927,0.002477213,0.001898261,0.2295537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479202,"about_ca_system_score_gemma":0.002229678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160574,"about_ca_topic_score_gemma":0.03512301,"domain_scores_codex":[0.9990473,0.0001306534,0.0001187722,0.00033295,0.0002080131,0.0001622],"domain_scores_gemma":[0.9975975,0.0006874325,0.0002162796,0.0006300207,0.0005959924,0.0002726318],"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":[0.00002839217,0.00001179587,0.0004097902,0.0005371231,0.00001354653,0.00001626704,0.00002481916,0.0001283738,0.0001181055,0.000331963,0.9968575,0.001522261],"study_design_scores_gemma":[0.00007149326,0.000009424839,0.002079537,0.0002054423,0.00001406071,0.00003973329,0.00008518876,0.0001685509,0.00018877,0.0007304691,0.996389,0.00001826737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004927741,0.00002881904,0.00004369764,0.00003706806,0.00001328608,0.000005780868,0.9987803,0.0004014354,0.0006402836],"genre_scores_gemma":[0.000166178,0.00003407913,0.0001939022,0.0000439323,0.000003869183,0.00004410142,0.9989058,0.0001436787,0.000464536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842165,"threshold_uncertainty_score":0.5280107,"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."}}