{"id":"W7083622393","doi":"10.15468/dl.x4v5yw","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Economic and Technological Innovation","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":[0.0009584064,0.001912763,0.001525386,0.005033908,0.0009037697,0.002458308,0.002774965,0.002147464,0.1243894],"category_scores_gemma":[0.005580708,0.0007983502,0.001142678,0.008960348,0.0004576759,0.002039092,0.002327372,0.00188318,0.1896007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604819,"about_ca_system_score_gemma":0.002143801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133826,"about_ca_topic_score_gemma":0.03548897,"domain_scores_codex":[0.9989624,0.0001523988,0.0001332749,0.0003433794,0.0002331772,0.0001753621],"domain_scores_gemma":[0.9977511,0.0005930499,0.0002292267,0.0006040332,0.0005652423,0.0002574358],"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":[0.0000322589,0.00001189351,0.0004184377,0.000510573,0.00001578865,0.00001684467,0.00002000345,0.0001461788,0.0001010718,0.0004039824,0.9969208,0.001402115],"study_design_scores_gemma":[0.00008771758,0.000009750247,0.002204973,0.0001990474,0.0000153894,0.00004584701,0.00006505011,0.0002058506,0.0001886226,0.0009158889,0.996044,0.00001788513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005326148,0.00003542654,0.00004225362,0.00003858928,0.00001162156,0.00000562983,0.9988179,0.0003829953,0.0006122807],"genre_scores_gemma":[0.0001893732,0.00003691812,0.000170011,0.00004914017,0.000003866424,0.00003589481,0.9989554,0.0001144408,0.0004449293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8756106,"threshold_uncertainty_score":0.4161241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693060965135321,"score_gpt":0.2036235982754454,"score_spread":0.1766929886240922,"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."}}