{"id":"W6962045972","doi":"10.15468/dl.qqu82x","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":[0.00100482,0.001992973,0.001575259,0.004688674,0.001067791,0.002661682,0.002838956,0.002253292,0.1711565],"category_scores_gemma":[0.006482705,0.0009267008,0.001303407,0.00880546,0.000457931,0.002555712,0.002620585,0.002117577,0.2367833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636983,"about_ca_system_score_gemma":0.002393547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210272,"about_ca_topic_score_gemma":0.03694884,"domain_scores_codex":[0.9989352,0.0001525598,0.0001261205,0.0003835755,0.0002318174,0.0001707286],"domain_scores_gemma":[0.9973304,0.0007971177,0.0002138435,0.000717565,0.0006581839,0.0002827797],"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":[0.00002573828,0.00001182994,0.0003455567,0.0004831557,0.00001236583,0.00001372097,0.00002169121,0.0001138649,0.0001023966,0.0003437945,0.9972081,0.001317851],"study_design_scores_gemma":[0.0000703294,0.00000883629,0.001678342,0.0001937125,0.00001319623,0.00003451622,0.00007565692,0.0001725676,0.000180977,0.0008414638,0.9967124,0.00001798815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000456932,0.00002944738,0.00005080948,0.00004674178,0.00001487629,0.000006791312,0.9985865,0.0004835848,0.0007356316],"genre_scores_gemma":[0.0001743718,0.00003485397,0.000230817,0.00005681938,0.000004243524,0.00005248268,0.9987199,0.0001836703,0.0005427171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288435,"threshold_uncertainty_score":0.5725755,"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."}}