{"id":"W6962307836","doi":"10.15468/dl.rd3nnt","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":[0.0009872223,0.001965555,0.001584891,0.005198561,0.001009472,0.002679287,0.002597533,0.002094796,0.1650132],"category_scores_gemma":[0.006463621,0.0008673448,0.001258095,0.0096017,0.0004406014,0.002348227,0.002576512,0.001931958,0.2289269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540369,"about_ca_system_score_gemma":0.002317346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079168,"about_ca_topic_score_gemma":0.03202122,"domain_scores_codex":[0.9989308,0.0001499511,0.0001374469,0.000375122,0.0002317662,0.0001750067],"domain_scores_gemma":[0.9972996,0.0008205157,0.0002419038,0.00069177,0.0006511829,0.0002950522],"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":[0.00003024241,0.00001186289,0.0004373404,0.0005721,0.00001454423,0.00001625988,0.00002380618,0.0001308795,0.0001109385,0.0003444599,0.9968207,0.001486965],"study_design_scores_gemma":[0.00007342388,0.000009941324,0.002044148,0.0002246599,0.00001529289,0.00003984209,0.00008565892,0.0001742137,0.0001840625,0.0007800848,0.9963503,0.0000184321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004574801,0.00002963284,0.00004206425,0.00004036012,0.00001367652,0.000005748035,0.9988075,0.0003947808,0.00062041],"genre_scores_gemma":[0.0001752339,0.00003777271,0.0001967186,0.00004962511,0.000004205345,0.00004407562,0.9988574,0.0001495124,0.0004854944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349868,"threshold_uncertainty_score":0.5520241,"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."}}