{"id":"W6906015290","doi":"10.15468/dl.vrk8x7","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); Alien","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":[0.001014626,0.001956555,0.001550792,0.004886825,0.001008052,0.002594057,0.002671654,0.002127922,0.1558432],"category_scores_gemma":[0.006177034,0.0008791052,0.001244496,0.009111824,0.0004426611,0.002343112,0.002544248,0.001951699,0.2213521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533102,"about_ca_system_score_gemma":0.002300129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116016,"about_ca_topic_score_gemma":0.03272058,"domain_scores_codex":[0.9989391,0.0001513905,0.0001335999,0.0003730607,0.0002277525,0.0001750321],"domain_scores_gemma":[0.9973924,0.0007731035,0.0002281978,0.0006855215,0.0006398312,0.00028102],"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":[0.00002919776,0.00001231883,0.0004158899,0.0005214958,0.00001414637,0.00001572489,0.00002331381,0.0001257186,0.0001111414,0.0003434675,0.9969653,0.001422269],"study_design_scores_gemma":[0.00007608208,0.000009946598,0.002059553,0.0002111856,0.00001492815,0.00004024871,0.00008549416,0.0001783014,0.0001979649,0.0007729484,0.9963343,0.00001898167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004804292,0.00002855982,0.00004467318,0.00004206928,0.00001366701,0.000006036651,0.998781,0.0004133511,0.0006225472],"genre_scores_gemma":[0.0001748205,0.00003422768,0.0001976967,0.00004990996,0.000004048693,0.00004540277,0.9988732,0.0001458609,0.0004748437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441569,"threshold_uncertainty_score":0.5213473,"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."}}