{"id":"W6943693225","doi":"10.15468/dl.wkqrfr","title":"Occurrence Download","year":2018,"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); 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":[0.0009288321,0.002129065,0.001675749,0.005242145,0.001031244,0.002734487,0.003094799,0.002291761,0.1563218],"category_scores_gemma":[0.006439951,0.0009118736,0.001259163,0.009919512,0.00047509,0.002484336,0.002712161,0.00209331,0.2180863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630971,"about_ca_system_score_gemma":0.002355427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140343,"about_ca_topic_score_gemma":0.0351002,"domain_scores_codex":[0.9989892,0.0001328592,0.0001258875,0.0003444025,0.0002377837,0.0001698918],"domain_scores_gemma":[0.9977068,0.0006722575,0.0002024689,0.0005942261,0.0005637453,0.0002605461],"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":[0.00002800328,0.00001243605,0.0003729028,0.0005563317,0.00001509346,0.00001659097,0.00002502322,0.0001352206,0.0001000022,0.0003439818,0.9969031,0.001491218],"study_design_scores_gemma":[0.00008444701,0.000009460904,0.001821456,0.0002383897,0.00001679923,0.00004561517,0.00008995005,0.0002205251,0.0001964047,0.0008389374,0.9964193,0.00001876721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000519887,0.00003852423,0.00005298805,0.00004401503,0.00001433855,0.0000061556,0.9986035,0.0005217222,0.0006667181],"genre_scores_gemma":[0.0001719508,0.00003787311,0.000207606,0.00004459051,0.000003493734,0.00004444734,0.9988959,0.0001617101,0.0004324284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436782,"threshold_uncertainty_score":0.5229484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}