{"id":"W6905814722","doi":"10.15468/dl.nprxky","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":"Matching (statistics); Download; Alien; 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":[0.0009359011,0.002083212,0.00157619,0.005144624,0.0009951455,0.00251475,0.002691168,0.001995486,0.1681506],"category_scores_gemma":[0.005989952,0.0008997542,0.001214011,0.01014968,0.000459288,0.002105131,0.002512026,0.001802816,0.2252852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493408,"about_ca_system_score_gemma":0.002330518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120228,"about_ca_topic_score_gemma":0.03356451,"domain_scores_codex":[0.9989574,0.0001445779,0.0001324722,0.0003738531,0.0002157486,0.0001758979],"domain_scores_gemma":[0.9975714,0.0007155487,0.0002336168,0.0006023941,0.0006052564,0.0002717199],"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":[0.00003149019,0.00001151183,0.0004037737,0.000550195,0.00001423266,0.00001453506,0.00002173295,0.0001283617,0.0001161521,0.0003363422,0.996947,0.001424779],"study_design_scores_gemma":[0.00008318665,0.00001095252,0.001948047,0.0001975642,0.00001583183,0.00003764755,0.00007177405,0.0001599463,0.0001950015,0.0007862502,0.9964747,0.00001916516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004586073,0.00002788087,0.00003743008,0.00003315255,0.00001206142,0.0000051715,0.9988575,0.0003595946,0.0006213982],"genre_scores_gemma":[0.0001664157,0.0000344764,0.0001846298,0.00004558342,0.000003754931,0.00004372242,0.9989064,0.0001452855,0.0004697493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318495,"threshold_uncertainty_score":0.5625197,"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."}}