{"id":"W6905885961","doi":"10.15468/dl.t9fxqz","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":[0.001040974,0.001989257,0.001571396,0.004991803,0.0009914557,0.002485964,0.002920335,0.002069346,0.1560449],"category_scores_gemma":[0.005939225,0.0009132139,0.001151688,0.009410238,0.000467131,0.002325399,0.002549836,0.002049976,0.2111834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534535,"about_ca_system_score_gemma":0.002212693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976023,"about_ca_topic_score_gemma":0.03311494,"domain_scores_codex":[0.9989761,0.0001455164,0.0001274961,0.000361807,0.0002209256,0.0001681282],"domain_scores_gemma":[0.9975113,0.0007228241,0.0002392117,0.0006638512,0.0005740075,0.0002888404],"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":[0.00002807259,0.00001193689,0.0003794599,0.0005162087,0.0000148773,0.00001463094,0.00002388765,0.0001338612,0.0001142035,0.0003675678,0.9970175,0.001377832],"study_design_scores_gemma":[0.00007579975,0.000008421615,0.001864156,0.0001910484,0.00001466695,0.0000388925,0.00007729403,0.0001661902,0.0001950345,0.0008175123,0.9965326,0.00001842783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004612781,0.0000271757,0.00004960803,0.00003667011,0.00001290392,0.000005424793,0.998803,0.0003870724,0.0006318826],"genre_scores_gemma":[0.0001679112,0.00003145107,0.0002059507,0.00004387976,0.000003631671,0.00004433493,0.9989071,0.0001515952,0.0004440844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439551,"threshold_uncertainty_score":0.5220222,"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."}}