{"id":"W6905785544","doi":"10.15468/dl.y7ak85","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); Order (exchange); State (computer science)","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":[0.001175437,0.001947044,0.001659222,0.005138814,0.001103619,0.002947062,0.003052269,0.001988538,0.1923425],"category_scores_gemma":[0.006883856,0.001015511,0.001193671,0.01070908,0.000462557,0.002522464,0.002771411,0.002146565,0.2583094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609773,"about_ca_system_score_gemma":0.002552171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218024,"about_ca_topic_score_gemma":0.03636961,"domain_scores_codex":[0.9988468,0.0001559856,0.0001478899,0.0003990011,0.0002647557,0.0001856821],"domain_scores_gemma":[0.9971868,0.0008108211,0.0002443391,0.0007413887,0.0007084197,0.0003082276],"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":[0.00002470184,0.000009278742,0.0002960779,0.0004845728,0.00001295305,0.00001252233,0.00002252913,0.00009354867,0.00009761377,0.0003856034,0.9973023,0.001258346],"study_design_scores_gemma":[0.00005696946,0.000005901413,0.001387092,0.0001739297,0.00001221103,0.00002935648,0.00006531786,0.0001072411,0.0001667354,0.0007652402,0.9972143,0.00001580849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003179993,0.00002208474,0.00004856579,0.00003231778,0.00001103462,0.000004953928,0.9987738,0.000375933,0.0006994668],"genre_scores_gemma":[0.0001379123,0.00003201226,0.000202202,0.00004312941,0.000003234165,0.00004413068,0.9988194,0.000195139,0.0005227445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8076575,"threshold_uncertainty_score":0.6434497,"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."}}