{"id":"W6887184096","doi":"10.15468/dl.uddn6o","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); 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":[0.001015157,0.001932601,0.001719173,0.005161452,0.001010686,0.002695969,0.002923751,0.002116024,0.1629032],"category_scores_gemma":[0.006038735,0.0008837197,0.001156262,0.01053467,0.0004445526,0.002339823,0.002545474,0.002033038,0.2245898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570764,"about_ca_system_score_gemma":0.002413498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198521,"about_ca_topic_score_gemma":0.03354387,"domain_scores_codex":[0.9989543,0.0001431244,0.0001361922,0.0003651305,0.000227738,0.0001735049],"domain_scores_gemma":[0.9976157,0.0006807517,0.0002334913,0.0006001687,0.0005993245,0.000270542],"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":[0.00003101188,0.00001088867,0.0003779033,0.0006431639,0.00001746351,0.0000155829,0.00002390382,0.0001223698,0.0001284153,0.0004307441,0.9967549,0.001443669],"study_design_scores_gemma":[0.00007164973,0.000007472092,0.001699275,0.0002094624,0.00001565154,0.00003508282,0.00006472274,0.0001203336,0.0001847481,0.000832946,0.9967411,0.00001744343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003516529,0.00003025571,0.00004010555,0.00003151309,0.00001029705,0.00000452516,0.9989298,0.000311234,0.0006070637],"genre_scores_gemma":[0.0001495222,0.00003539083,0.0001726703,0.00004308126,0.000003153114,0.00003688061,0.9990107,0.000129658,0.0004189558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370968,"threshold_uncertainty_score":0.5449656,"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."}}