{"id":"W6905853126","doi":"10.15468/dl.qnszs6","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); Column (typography); Data set","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":[0.001118903,0.001921068,0.001627212,0.005316463,0.001097662,0.002916156,0.002976399,0.002005725,0.1970222],"category_scores_gemma":[0.006748991,0.0009993679,0.001136667,0.0105112,0.000453803,0.002459042,0.002758509,0.002084261,0.2593989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154454,"about_ca_system_score_gemma":0.00248666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131023,"about_ca_topic_score_gemma":0.03488751,"domain_scores_codex":[0.9988683,0.0001488389,0.0001445273,0.0003910632,0.0002615387,0.0001856907],"domain_scores_gemma":[0.9972854,0.0007843448,0.0002448208,0.0006966959,0.0006845911,0.0003042968],"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":[0.00002563755,0.000009536708,0.0003115252,0.0004872183,0.00001312039,0.00001384142,0.00002412141,0.00009864337,0.0001070819,0.000414678,0.9971541,0.001340437],"study_design_scores_gemma":[0.00005448659,0.000005881859,0.001402241,0.000171024,0.00001233776,0.00003130138,0.00006778871,0.0001086603,0.0001671647,0.0007699631,0.9971932,0.00001614382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003363548,0.00002283147,0.00005166826,0.0000341977,0.00001155445,0.000004900787,0.9987054,0.0003982458,0.0007376227],"genre_scores_gemma":[0.0001438225,0.00003119612,0.0002007079,0.00004256731,0.000003353621,0.00003968633,0.9988074,0.000194579,0.0005366487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8029778,"threshold_uncertainty_score":0.6591049,"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."}}