{"id":"W6887207979","doi":"10.15468/dl.xt5zfj","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":"Extant taxon; Geodetic datum; Download; Matching (statistics); State (computer science)","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":["insufficient_payload"],"category_scores_codex":[0.0009044489,0.002498879,0.002189066,0.006502778,0.001271189,0.004360026,0.002481653,0.002019865,0.4869575],"category_scores_gemma":[0.006091892,0.00103715,0.001785558,0.009494525,0.0003840961,0.00352637,0.003668645,0.002265267,0.5898613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013454,"about_ca_system_score_gemma":0.002490265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174114,"about_ca_topic_score_gemma":0.02841245,"domain_scores_codex":[0.9988334,0.0001264564,0.0001625446,0.0004101074,0.0002604667,0.0002069926],"domain_scores_gemma":[0.9970337,0.0007171019,0.0001901568,0.0007559374,0.000825079,0.0004779802],"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":[0.00003618646,0.00001193016,0.0001785614,0.0003516492,0.0000092021,0.00001349461,0.00001775879,0.0000720159,0.00007782707,0.0003440226,0.9958242,0.003063054],"study_design_scores_gemma":[0.00007047666,0.000011559,0.0009338996,0.0001266381,0.00001226324,0.00003161273,0.00006333074,0.0001801434,0.0001482962,0.001127958,0.9972718,0.00002189126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004913467,0.00005060419,0.0001525374,0.00007243353,0.00005253625,0.00001560865,0.993404,0.002556262,0.003646946],"genre_scores_gemma":[0.0002433567,0.00008418697,0.0006660459,0.0001301615,0.00001724472,0.0000773677,0.9946536,0.0009640938,0.003163982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5130426,"threshold_uncertainty_score":0.7317929,"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."}}