{"id":"W6943252711","doi":"10.15468/dl.u8qnmn","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; 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":[0.00100449,0.001975803,0.001628912,0.005078172,0.001001074,0.00272829,0.002792796,0.00211176,0.1624911],"category_scores_gemma":[0.006522505,0.0009251287,0.001286144,0.009590846,0.0004379817,0.002351984,0.002558447,0.002029883,0.2247792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540153,"about_ca_system_score_gemma":0.002253257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997271,"about_ca_topic_score_gemma":0.03111212,"domain_scores_codex":[0.9989514,0.0001478487,0.0001338871,0.0003780496,0.0002208268,0.0001680115],"domain_scores_gemma":[0.9974739,0.0007935455,0.0002229506,0.0006404701,0.0005998659,0.0002692465],"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":[0.00002994363,0.00001227969,0.0004327153,0.0006362034,0.00001678974,0.00001657261,0.00002532551,0.0001391496,0.0001185359,0.0003647558,0.9966847,0.001523056],"study_design_scores_gemma":[0.00007451671,0.000009290021,0.001991432,0.0002338936,0.00001713795,0.00003889922,0.00008469157,0.0001766265,0.000191143,0.0008136487,0.9963493,0.00001933219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004195848,0.00002881394,0.00004404223,0.00003756398,0.00001218012,0.00000559743,0.998896,0.0003654999,0.0005682564],"genre_scores_gemma":[0.0001638838,0.00003698118,0.0001995079,0.00004728197,0.000003655875,0.00004936566,0.9988901,0.0001483584,0.0004608957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375089,"threshold_uncertainty_score":0.543587,"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."}}