{"id":"W6906136993","doi":"10.15468/dl.z4dtu2","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); 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":[0.001139125,0.002059959,0.001669818,0.005371674,0.001072912,0.00278835,0.00298667,0.002155172,0.1630001],"category_scores_gemma":[0.00683535,0.0009956957,0.001222115,0.01024189,0.0004771509,0.002504316,0.002759186,0.00210772,0.2241475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720885,"about_ca_system_score_gemma":0.002558822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02310747,"about_ca_topic_score_gemma":0.03682454,"domain_scores_codex":[0.9987692,0.0001696072,0.0001669551,0.0004353865,0.0002667685,0.0001920293],"domain_scores_gemma":[0.9970452,0.0008705655,0.0002804882,0.0007800588,0.0007019254,0.0003216988],"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":[0.00002905646,0.00001095607,0.0003643127,0.0005329172,0.00001498245,0.00001521811,0.00002458466,0.000117029,0.0001038869,0.0003762646,0.9971471,0.001263668],"study_design_scores_gemma":[0.00007545465,0.000008013296,0.001774993,0.000193587,0.00001501622,0.00003955579,0.00007769949,0.0001523621,0.0001810719,0.0007891643,0.9966744,0.00001876371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003439948,0.0000226723,0.0000422655,0.00003453715,0.00001114307,0.000004808776,0.9989836,0.0003404304,0.0005262087],"genre_scores_gemma":[0.0001431487,0.00003099625,0.0001884358,0.00004397987,0.000003306647,0.00004014717,0.998978,0.0001450671,0.0004269593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369999,"threshold_uncertainty_score":0.5452896,"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."}}