{"id":"W6943446355","doi":"10.15468/dl.ysmbh9","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":[0.001008785,0.001885899,0.001601846,0.005025289,0.001001917,0.002649714,0.002735461,0.002042256,0.1630849],"category_scores_gemma":[0.005949961,0.0009281986,0.001133963,0.00990056,0.0004370954,0.002452476,0.002546209,0.002015418,0.2231237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519011,"about_ca_system_score_gemma":0.002280062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971044,"about_ca_topic_score_gemma":0.0350509,"domain_scores_codex":[0.9989693,0.0001413291,0.0001321638,0.0003624609,0.0002274037,0.0001673139],"domain_scores_gemma":[0.9974739,0.0007219036,0.0002357579,0.0006679911,0.0006079038,0.0002924832],"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":[0.00002713347,0.00001118565,0.0003782421,0.0005266848,0.00001417047,0.00001480882,0.00002367059,0.0001159734,0.0001129397,0.0003916853,0.9970617,0.001321841],"study_design_scores_gemma":[0.00006605106,0.000007394945,0.00181632,0.0001861238,0.00001323056,0.00003537158,0.00007284383,0.0001323344,0.0001718869,0.0007836885,0.9966977,0.00001711814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000409795,0.00002507565,0.00004513062,0.00003374053,0.00001135737,0.000005019772,0.9988482,0.0003341049,0.0006564091],"genre_scores_gemma":[0.0001583673,0.0000323915,0.0002013429,0.00004310434,0.000003442569,0.00004221274,0.9988827,0.0001443186,0.0004920865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369151,"threshold_uncertainty_score":0.5455734,"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."}}