{"id":"W6943713632","doi":"10.15468/dl.snudba","title":"Occurrence Download","year":2016,"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); Data set","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":[0.0009434039,0.002070812,0.001587262,0.004528026,0.0009956994,0.002465595,0.003103936,0.002194152,0.1200781],"category_scores_gemma":[0.005798701,0.0008450067,0.001296692,0.00861789,0.0004488918,0.002473509,0.002599559,0.002101595,0.1898185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683576,"about_ca_system_score_gemma":0.002374442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195154,"about_ca_topic_score_gemma":0.0377911,"domain_scores_codex":[0.9989275,0.0001477392,0.0001363051,0.0003715836,0.0002424738,0.0001743049],"domain_scores_gemma":[0.9976853,0.0006024453,0.0002153305,0.0006577084,0.0005717164,0.0002673779],"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":[0.00003255602,0.00001405889,0.0004407224,0.0004856325,0.00001471191,0.00001686735,0.00002319686,0.0001552067,0.0001083319,0.0003788871,0.9968531,0.001476839],"study_design_scores_gemma":[0.00008537952,0.00001075697,0.002122547,0.0001964704,0.00001470553,0.00004885374,0.0000807612,0.0002443675,0.0002073578,0.0008714269,0.9960978,0.00001962312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006385341,0.00003614268,0.00005534274,0.000047652,0.00001585759,0.000006550691,0.9985846,0.0005208625,0.000669193],"genre_scores_gemma":[0.0001687468,0.00003134309,0.0001930998,0.00004102532,0.000003366497,0.00003657793,0.9989926,0.0001215664,0.0004116749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8799219,"threshold_uncertainty_score":0.4017012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}