{"id":"W6887113266","doi":"10.15468/dl.rvraaq","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); Upload; Term (time)","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":[0.0009069385,0.001886989,0.001549625,0.005473416,0.001047062,0.00258067,0.002820222,0.001977153,0.1483983],"category_scores_gemma":[0.005683522,0.0008525191,0.001133001,0.01072177,0.0004439295,0.002282981,0.00245113,0.001909327,0.2147783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719465,"about_ca_system_score_gemma":0.00262233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03119413,"about_ca_topic_score_gemma":0.05511409,"domain_scores_codex":[0.9989067,0.0001382452,0.0001346275,0.0003776624,0.0002576227,0.0001850711],"domain_scores_gemma":[0.9975224,0.0006534285,0.0002189232,0.000636008,0.0006738359,0.0002953158],"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":[0.0000252573,0.000009619411,0.0003699955,0.0004475469,0.00001266337,0.00001375999,0.00002121797,0.0001144385,0.00009480745,0.0003455267,0.9971962,0.00134897],"study_design_scores_gemma":[0.00005565121,0.000006817953,0.001800423,0.000178263,0.00001278878,0.00003605996,0.00007642386,0.0001519668,0.0001598925,0.0006960862,0.9968094,0.00001615706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003999906,0.00002773281,0.00004108388,0.00003264668,0.00001120647,0.000004406794,0.9988468,0.0003399129,0.0006561597],"genre_scores_gemma":[0.0001471767,0.00003227044,0.0001690751,0.00003665016,0.000003099137,0.00003061117,0.9989844,0.0001214506,0.000475231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516017,"threshold_uncertainty_score":0.4964418,"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."}}