{"id":"W6943655559","doi":"10.15468/dl.r9vqx7","title":"Occurrence Download","year":2023,"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; Information system","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":[0.0009996688,0.001833241,0.001633958,0.005053481,0.001028317,0.002603476,0.002648298,0.002163474,0.1452244],"category_scores_gemma":[0.006211807,0.0008970355,0.001286439,0.009743445,0.000447674,0.00224691,0.002498664,0.001957031,0.2034026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618837,"about_ca_system_score_gemma":0.00235837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138049,"about_ca_topic_score_gemma":0.03285288,"domain_scores_codex":[0.998906,0.0001524332,0.0001439264,0.0003814192,0.0002368591,0.0001792767],"domain_scores_gemma":[0.9974026,0.0007874343,0.0002439688,0.0006673433,0.0006179744,0.0002806329],"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":[0.00003293886,0.00001242003,0.0004302865,0.0006394086,0.00001648893,0.00001725851,0.00002558311,0.0001259784,0.0001355838,0.0003776877,0.9966999,0.001486565],"study_design_scores_gemma":[0.00008038637,0.000009993446,0.002326984,0.0002375758,0.0000171783,0.00004361167,0.00008441412,0.0001591691,0.0002076468,0.0007190164,0.996095,0.00001902981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004752969,0.00003194363,0.000039247,0.00003902697,0.00001288506,0.000005715299,0.9988839,0.000352567,0.0005871698],"genre_scores_gemma":[0.0001751877,0.00003934605,0.0001854135,0.00004868167,0.000003938831,0.00004450136,0.9989308,0.0001279537,0.0004442722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547756,"threshold_uncertainty_score":0.4858239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}