{"id":"W6943570258","doi":"10.15468/dl.wrup9v","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); Data set; Set (abstract data type)","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":[0.00112883,0.001959676,0.00169947,0.005555786,0.001049494,0.002967197,0.003032218,0.00204175,0.1766129],"category_scores_gemma":[0.006657087,0.001017871,0.001205533,0.01120139,0.0004526575,0.002482854,0.002705721,0.002062029,0.2388535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603285,"about_ca_system_score_gemma":0.002421636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052982,"about_ca_topic_score_gemma":0.03324891,"domain_scores_codex":[0.9988348,0.000157046,0.0001562788,0.0004032346,0.0002614852,0.0001872965],"domain_scores_gemma":[0.9972605,0.0007896163,0.0002547628,0.0007127903,0.0006783481,0.0003040699],"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":[0.00002745546,0.000009982284,0.0003411858,0.0005393703,0.00001571246,0.00001433673,0.00002351648,0.000110307,0.0001109604,0.0003937241,0.9970227,0.001390646],"study_design_scores_gemma":[0.00006110148,0.000006531971,0.001600109,0.0001838548,0.00001419503,0.00003355664,0.00006778434,0.0001187493,0.0001646001,0.0007295987,0.9970033,0.00001671834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003331915,0.00002481281,0.00004678372,0.00003248711,0.00001099523,0.00000473312,0.9988546,0.0003661841,0.0006260736],"genre_scores_gemma":[0.0001398969,0.00003332642,0.0001904124,0.00004176459,0.000003222131,0.00003836765,0.9989364,0.0001734353,0.0004432383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233871,"threshold_uncertainty_score":0.590829,"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."}}