{"id":"W6887053866","doi":"10.15468/dl.pbdqcr","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); State (computer science); 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":[0.001016323,0.001995536,0.001572064,0.00510403,0.0009963675,0.002528696,0.00288762,0.002051351,0.1604663],"category_scores_gemma":[0.005618672,0.0009037202,0.001136975,0.009737649,0.0004707488,0.002333465,0.002584096,0.002089931,0.2256842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557427,"about_ca_system_score_gemma":0.002256162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01989795,"about_ca_topic_score_gemma":0.03418174,"domain_scores_codex":[0.999008,0.000138468,0.0001217562,0.0003482362,0.0002147692,0.0001688552],"domain_scores_gemma":[0.9975915,0.0006753179,0.0002366099,0.0006462805,0.0005606987,0.0002895366],"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":[0.00002758184,0.00001171507,0.000372141,0.0005245341,0.00001441515,0.00001441787,0.00002510388,0.0001290787,0.0001236019,0.000397266,0.996971,0.001389199],"study_design_scores_gemma":[0.00006806789,0.000007553483,0.001692105,0.0001773554,0.00001327444,0.00003519535,0.00007170743,0.0001380431,0.0001783502,0.0007616858,0.9968399,0.00001691426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004402239,0.00002696995,0.00004857741,0.0000348103,0.00001313835,0.000005184862,0.9987878,0.0003698164,0.0006696746],"genre_scores_gemma":[0.000157393,0.00003138067,0.0002036205,0.00004333379,0.000003565888,0.0000416783,0.998892,0.0001520487,0.0004750504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395337,"threshold_uncertainty_score":0.5368134,"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."}}