{"id":"W6962559790","doi":"10.15468/dl.zstmx5","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":[0.001004926,0.00196242,0.001557687,0.004997009,0.001030869,0.002640441,0.002712291,0.002196327,0.1722492],"category_scores_gemma":[0.006623012,0.000903124,0.001298611,0.008943633,0.0004483143,0.002419018,0.002561793,0.001984894,0.225108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582291,"about_ca_system_score_gemma":0.002281811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222253,"about_ca_topic_score_gemma":0.03448454,"domain_scores_codex":[0.9989657,0.0001467848,0.0001270949,0.0003767057,0.0002160624,0.00016768],"domain_scores_gemma":[0.9973487,0.0008355157,0.0002186839,0.0006752557,0.0006359749,0.000285899],"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":[0.00002911546,0.0000119395,0.0004006595,0.0005538056,0.00001432505,0.00001600167,0.00002420121,0.0001293334,0.0001117427,0.0003448375,0.9969439,0.001420093],"study_design_scores_gemma":[0.00007717944,0.000009942615,0.002015784,0.0002228255,0.00001594049,0.00003959614,0.00008936977,0.0001917991,0.0001838547,0.0008462591,0.9962877,0.00001971875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004473594,0.00002756667,0.00004605616,0.00004430094,0.00001401059,0.000006305408,0.9987697,0.0004175816,0.0006296869],"genre_scores_gemma":[0.0001864402,0.00003576365,0.0002259686,0.00005605198,0.000004349502,0.00005239568,0.9987546,0.0001674498,0.0005169563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277507,"threshold_uncertainty_score":0.5762311,"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."}}