{"id":"W6924506051","doi":"10.15468/dl.ajzqzh","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.0009578454,0.001847472,0.001450484,0.004588316,0.0008643117,0.002366569,0.002724095,0.002023867,0.1135785],"category_scores_gemma":[0.005300381,0.0007578033,0.001063846,0.008335494,0.0004220196,0.001917038,0.002200729,0.001940965,0.1865746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513273,"about_ca_system_score_gemma":0.00205794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863557,"about_ca_topic_score_gemma":0.03278025,"domain_scores_codex":[0.9990331,0.0001465779,0.0001246661,0.0003170735,0.0002214981,0.0001570483],"domain_scores_gemma":[0.9979661,0.0005081466,0.0002112621,0.0005511272,0.0005183319,0.0002451357],"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":[0.00003120362,0.00001314877,0.0004090944,0.0004391815,0.00001444681,0.00001531589,0.00001742782,0.0001454619,0.00009872423,0.0003882425,0.9970534,0.001374294],"study_design_scores_gemma":[0.00009531627,0.00001015008,0.002183512,0.000185485,0.00001488512,0.0000412022,0.00006110384,0.0002234653,0.0001957367,0.0009343718,0.9960372,0.00001751155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005664257,0.00003194889,0.00004160401,0.00003831294,0.00001125687,0.000005998006,0.998897,0.0003350996,0.0005821928],"genre_scores_gemma":[0.000185828,0.00003526542,0.0001757737,0.00004736077,0.000003947034,0.00004192704,0.9989484,0.0001020296,0.0004594517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8864214,"threshold_uncertainty_score":0.379958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113771468807417,"score_gpt":0.1975556907743271,"score_spread":0.1764179760862529,"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."}}