{"id":"W6962181374","doi":"10.15468/dl.xyjwzl","title":"Occurrence Download","year":2019,"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); Feature (linguistics); Reference data","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":[0.0006576333,0.002572069,0.001956577,0.005395125,0.001216526,0.003320494,0.002698538,0.002468912,0.2350501],"category_scores_gemma":[0.005040847,0.0008815029,0.001675206,0.007767035,0.000371174,0.004022757,0.003498283,0.002131815,0.3228305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310423,"about_ca_system_score_gemma":0.002183321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558287,"about_ca_topic_score_gemma":0.02941689,"domain_scores_codex":[0.9989986,0.000119787,0.0001578162,0.0003632181,0.000201784,0.0001588349],"domain_scores_gemma":[0.998071,0.0004898303,0.0001475076,0.0004948984,0.000549018,0.0002477832],"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":[0.0000531727,0.00001804793,0.0003584907,0.0007231059,0.00001566751,0.00003362986,0.00002824237,0.0001185731,0.0001299376,0.0004441765,0.9940216,0.004055495],"study_design_scores_gemma":[0.00005794382,0.00001382765,0.001157171,0.0002021617,0.00001576911,0.00007041888,0.00009416897,0.0003314289,0.0001930936,0.001149867,0.9966928,0.00002126319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001209727,0.0001317023,0.000212856,0.0001060977,0.00005367316,0.00002112455,0.99414,0.002518383,0.002695248],"genre_scores_gemma":[0.0003638659,0.000104036,0.0006962397,0.0001237534,0.0000133807,0.00006584291,0.9966714,0.0004525267,0.001508924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7649499,"threshold_uncertainty_score":0.7863208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}