{"id":"W6943244737","doi":"10.15468/dl.kcm9as","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); 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":[0.001137912,0.001926796,0.00164642,0.005204606,0.001064838,0.002906716,0.002987991,0.002057152,0.180555],"category_scores_gemma":[0.006838319,0.001006161,0.001165617,0.01047791,0.0004564788,0.002472014,0.002714016,0.002104172,0.241071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590668,"about_ca_system_score_gemma":0.002442039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038931,"about_ca_topic_score_gemma":0.03393134,"domain_scores_codex":[0.998847,0.0001587182,0.0001528916,0.0004021573,0.0002552414,0.0001839204],"domain_scores_gemma":[0.9972177,0.0008250585,0.0002568775,0.0007271733,0.000663742,0.0003094878],"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":[0.00002662071,0.000009743781,0.000335529,0.0005117949,0.00001427993,0.00001409233,0.00002394586,0.00010729,0.0001045294,0.0004013532,0.9971679,0.001283044],"study_design_scores_gemma":[0.00006349241,0.000006632543,0.00154427,0.000188164,0.00001359284,0.00003398922,0.00007006729,0.0001240835,0.0001663507,0.0007750288,0.9969975,0.00001684003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000335978,0.00002300147,0.00004738117,0.00003363002,0.00001134737,0.000004726224,0.9988567,0.000349197,0.0006404019],"genre_scores_gemma":[0.0001458704,0.00003216082,0.0001994628,0.00004365688,0.000003365291,0.00004164731,0.9988748,0.0001734446,0.0004855105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.819445,"threshold_uncertainty_score":0.6040166,"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."}}