{"id":"W6887184032","doi":"10.15468/dl.uev2fs","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); Alien; Range (aeronautics); 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":[0.0009617419,0.001819269,0.001575205,0.005289138,0.001037421,0.00285467,0.002806916,0.002050415,0.1808107],"category_scores_gemma":[0.006342352,0.0008963191,0.001220262,0.01065045,0.0004335203,0.002362309,0.002480007,0.001998951,0.258704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701918,"about_ca_system_score_gemma":0.00247784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02263026,"about_ca_topic_score_gemma":0.0370369,"domain_scores_codex":[0.998951,0.0001466913,0.0001336014,0.0003671892,0.0002290582,0.0001725111],"domain_scores_gemma":[0.9975708,0.0007073859,0.0002181134,0.0005980644,0.0006415314,0.0002640267],"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":[0.00002452019,0.000009480352,0.00032037,0.0005300916,0.00001270233,0.00001325242,0.00002086689,0.00009794998,0.00009371899,0.0003575056,0.9971268,0.001392653],"study_design_scores_gemma":[0.00005698921,0.000007102666,0.0015146,0.000204479,0.00001320853,0.00003238022,0.00006791468,0.0001218761,0.0001557187,0.0007068016,0.9971034,0.00001561671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003534435,0.00003108927,0.0000408184,0.00003967302,0.0000118664,0.000005315153,0.9987888,0.0003345799,0.0007125044],"genre_scores_gemma":[0.000147203,0.00004215466,0.0001876807,0.00005036705,0.00000382017,0.00004587613,0.9987727,0.00015105,0.0005992315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8191893,"threshold_uncertainty_score":0.6048719,"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."}}