{"id":"W6943689883","doi":"10.15468/dl.pwm9tr","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; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0008981361,0.002044974,0.001512279,0.004890009,0.0009541512,0.002469418,0.002672128,0.001921682,0.1616095],"category_scores_gemma":[0.005611654,0.0009295204,0.001145054,0.009739539,0.0004370058,0.002302889,0.002532668,0.001902461,0.215602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507764,"about_ca_system_score_gemma":0.00223142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041351,"about_ca_topic_score_gemma":0.03429576,"domain_scores_codex":[0.9989991,0.0001362725,0.0001277728,0.000363193,0.000207825,0.0001658455],"domain_scores_gemma":[0.9976947,0.0006539581,0.0002242735,0.0005876697,0.0005724916,0.0002668515],"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":[0.00003229955,0.0000112801,0.0003983541,0.0005477612,0.00001481563,0.00001452684,0.00002266399,0.0001264018,0.0001222053,0.0003779577,0.9968641,0.001467481],"study_design_scores_gemma":[0.00007498691,0.000009024061,0.001878115,0.000182708,0.00001432351,0.00003667507,0.00006666092,0.0001436169,0.000186983,0.0008175996,0.9965706,0.00001865563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004173157,0.00002487309,0.00003920109,0.00003063726,0.00001133172,0.000004434749,0.998899,0.0003262083,0.0006226409],"genre_scores_gemma":[0.0001549646,0.00003257595,0.000191732,0.00004473581,0.000003373885,0.00003834932,0.9989114,0.0001462897,0.0004766202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383905,"threshold_uncertainty_score":0.5406377,"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."}}