{"id":"W6962142842","doi":"10.15468/dl.pxs7sb","title":"Occurrence Download","year":2023,"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; The Internet","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":[0.0009892564,0.001952999,0.001606944,0.00543659,0.001052996,0.002670524,0.002793715,0.002146026,0.1719565],"category_scores_gemma":[0.006249303,0.0008881082,0.001291128,0.009951794,0.0004577927,0.002431658,0.002690368,0.001974045,0.2436229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612745,"about_ca_system_score_gemma":0.002450304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304519,"about_ca_topic_score_gemma":0.03695022,"domain_scores_codex":[0.9989275,0.0001451829,0.0001328348,0.0003779416,0.0002352272,0.0001813598],"domain_scores_gemma":[0.9973192,0.0007897313,0.0002295669,0.0007073443,0.0006615237,0.0002927436],"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":[0.00002664606,0.00001137508,0.0003670471,0.0005484938,0.00001326061,0.00001587657,0.00002433648,0.0001056629,0.0001112778,0.0003480804,0.9970168,0.001411138],"study_design_scores_gemma":[0.00006385329,0.000008658126,0.001895117,0.0002115052,0.00001413168,0.00003888727,0.00008135353,0.0001397481,0.0001805327,0.0007190614,0.9966295,0.00001758119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004443199,0.0000298341,0.00004332266,0.00004149471,0.00001344593,0.000005978946,0.9987147,0.0004193866,0.0006873631],"genre_scores_gemma":[0.0001654045,0.00003762735,0.0001985462,0.000050379,0.000004038971,0.00004495277,0.9988058,0.0001623708,0.0005309194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8280435,"threshold_uncertainty_score":0.5752517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}