{"id":"W6943275650","doi":"10.15468/dl.ph58dc","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); Identification (biology)","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":[0.001124892,0.001984563,0.0016504,0.005386294,0.001051267,0.002778603,0.00298383,0.00208416,0.162424],"category_scores_gemma":[0.006582428,0.0009625872,0.00118252,0.01017191,0.0004706481,0.002470556,0.002699787,0.002069609,0.2299151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638982,"about_ca_system_score_gemma":0.002446896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160504,"about_ca_topic_score_gemma":0.03581867,"domain_scores_codex":[0.9988196,0.0001591423,0.00015821,0.0004135694,0.0002604758,0.0001888661],"domain_scores_gemma":[0.9972699,0.00077455,0.0002555317,0.0007209855,0.0006664929,0.0003125649],"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":[0.00002946703,0.00001104093,0.0003707504,0.0005432629,0.00001501071,0.00001544088,0.00002455019,0.0001154679,0.0001207145,0.0003957742,0.9969634,0.00139494],"study_design_scores_gemma":[0.00006425759,0.000007238961,0.001651511,0.0001899519,0.00001381101,0.00003683618,0.0000724706,0.0001366205,0.0001805985,0.000737276,0.9968922,0.0000172747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000372218,0.00002531501,0.000045641,0.00003432298,0.00001183342,0.000004880697,0.998866,0.0003625741,0.0006123231],"genre_scores_gemma":[0.0001422112,0.00003163088,0.0001893503,0.00004151583,0.000003210303,0.00003731249,0.9989734,0.0001482616,0.0004331542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837576,"threshold_uncertainty_score":0.5433624,"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."}}