{"id":"W6905715469","doi":"10.15468/dl.pxdf4x","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); Column (typography); 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":[0.001100368,0.002012381,0.00167564,0.005499371,0.00106217,0.002859858,0.002937226,0.002093772,0.1722183],"category_scores_gemma":[0.006789688,0.0009831763,0.001176353,0.01072261,0.0004706068,0.002515036,0.002685361,0.002078937,0.238594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680319,"about_ca_system_score_gemma":0.002476461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241494,"about_ca_topic_score_gemma":0.03575177,"domain_scores_codex":[0.9988103,0.0001599352,0.0001576212,0.0004217348,0.0002632558,0.0001871641],"domain_scores_gemma":[0.9971775,0.0008333011,0.0002668934,0.0007390938,0.0006661331,0.0003171145],"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":[0.00002670062,0.000009869586,0.0003391282,0.0005065061,0.0000141033,0.00001384786,0.00002267637,0.0001094859,0.0001038483,0.0003706869,0.9972058,0.001277234],"study_design_scores_gemma":[0.00006502526,0.000007057171,0.001670945,0.0001885862,0.00001387019,0.00003535861,0.00007031727,0.0001363478,0.000168884,0.0007426806,0.9968837,0.00001715407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003383648,0.00002412281,0.00004249716,0.00003375507,0.00001107491,0.000004407715,0.9989202,0.0003434808,0.0005867332],"genre_scores_gemma":[0.0001459462,0.00003319516,0.0001841283,0.0000429588,0.000003366395,0.00003815602,0.9989337,0.0001582727,0.0004602447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277817,"threshold_uncertainty_score":0.5761276,"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."}}