{"id":"W6887211740","doi":"10.15468/dl.vj4zyg","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); Upload; Eragrostis","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":[0.0011635,0.002045227,0.001689482,0.005195036,0.001093855,0.002786724,0.003008538,0.00213775,0.1681432],"category_scores_gemma":[0.006407958,0.0009946949,0.001200699,0.01029843,0.0004815294,0.002417697,0.002716325,0.002127503,0.2329197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723181,"about_ca_system_score_gemma":0.002510515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316342,"about_ca_topic_score_gemma":0.03650388,"domain_scores_codex":[0.9988384,0.0001570413,0.0001517343,0.0004032649,0.0002642888,0.0001853306],"domain_scores_gemma":[0.9972698,0.0007712714,0.0002511115,0.0007201415,0.000691685,0.0002960462],"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":[0.00002739319,0.00001075629,0.000340168,0.0005172082,0.00001488627,0.00001535208,0.00002427589,0.0001166674,0.0001207577,0.0004103004,0.997112,0.001290167],"study_design_scores_gemma":[0.00006552544,0.000006696629,0.001613271,0.0001744445,0.00001401918,0.0000352078,0.00006802556,0.0001321836,0.0001888972,0.0007632817,0.9969205,0.00001799736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003488845,0.00002446067,0.00004871782,0.00003429483,0.00001137267,0.000005098424,0.9988122,0.0003785097,0.0006505052],"genre_scores_gemma":[0.0001491917,0.00003234602,0.0002100508,0.0000443609,0.000003263777,0.00004349433,0.9988889,0.0001741316,0.0004541836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318568,"threshold_uncertainty_score":0.5624951,"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."}}