{"id":"W6962279150","doi":"10.15468/dl.yzqw3w","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality","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":[0.0009902564,0.001987919,0.001609894,0.004909208,0.001020001,0.002596349,0.002865038,0.002235678,0.1243265],"category_scores_gemma":[0.005672758,0.0008044449,0.001219415,0.009221748,0.0004725102,0.002146517,0.002428489,0.002118488,0.2023117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574914,"about_ca_system_score_gemma":0.002332539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207011,"about_ca_topic_score_gemma":0.03702767,"domain_scores_codex":[0.9988661,0.0001747076,0.0001419477,0.0003865822,0.0002481121,0.0001825409],"domain_scores_gemma":[0.9975898,0.0006321903,0.0002269405,0.0006454121,0.0006253264,0.0002804293],"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":[0.00003253219,0.00001281135,0.0003732905,0.0004798978,0.00001521004,0.00001487147,0.00001822348,0.0001296961,0.0001001419,0.000359712,0.9972039,0.001259811],"study_design_scores_gemma":[0.0000913853,0.00001071745,0.001999335,0.0001950648,0.00001611355,0.00004052109,0.00006822155,0.0001897032,0.0001821377,0.0008865154,0.9963015,0.0000187342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004929214,0.00003276379,0.00004030584,0.00003983235,0.00001240317,0.00000606596,0.9989322,0.0003299641,0.0005573101],"genre_scores_gemma":[0.0001566462,0.0000351223,0.0001668997,0.00005020248,0.000003890286,0.00003903968,0.9990187,0.0001009623,0.0004286295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8756735,"threshold_uncertainty_score":0.4159134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041304499061036,"score_gpt":0.1943999997252256,"score_spread":0.1639869547346152,"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."}}