{"id":"W6943473528","doi":"10.15468/dl.y3ugfs","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); Set (abstract data type); 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":[0.00114437,0.002042231,0.001724913,0.005152276,0.001090936,0.002945849,0.00309481,0.002140468,0.1849691],"category_scores_gemma":[0.006912684,0.001012267,0.001206434,0.0103005,0.0004687019,0.002618244,0.00277929,0.00210665,0.2557097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162578,"about_ca_system_score_gemma":0.002443467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999887,"about_ca_topic_score_gemma":0.03230793,"domain_scores_codex":[0.9988168,0.0001602816,0.0001542722,0.0004151293,0.0002634138,0.0001901374],"domain_scores_gemma":[0.9972909,0.0007699365,0.0002430247,0.0007187022,0.0006737686,0.000303705],"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":[0.00002774843,0.000009803464,0.0003059285,0.0005052953,0.00001365481,0.0000136696,0.00002176305,0.0001022285,0.0001021161,0.0003701246,0.9972509,0.001276892],"study_design_scores_gemma":[0.00006564733,0.000006892847,0.00146263,0.0001852298,0.00001352624,0.00003387062,0.00006601064,0.0001322305,0.0001747565,0.0008002888,0.997042,0.00001696744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003209679,0.00002411417,0.00004665591,0.00003467358,0.0000115295,0.000004953277,0.9988132,0.0003795596,0.0006532867],"genre_scores_gemma":[0.0001420061,0.0000329992,0.0001954568,0.00004563114,0.000003482826,0.00004272935,0.9988778,0.0001791548,0.0004806818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8150309,"threshold_uncertainty_score":0.6187832,"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."}}