{"id":"W6905683750","doi":"10.15468/dl.ktw7kf","title":"Occurrence Download","year":2022,"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":[0.001072731,0.001958321,0.001658863,0.005165226,0.0009959959,0.002652096,0.00286687,0.002112801,0.1698941],"category_scores_gemma":[0.006700899,0.0009519301,0.001183449,0.009953376,0.0004656836,0.00237445,0.00260312,0.002023211,0.2186015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539206,"about_ca_system_score_gemma":0.002407284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02099369,"about_ca_topic_score_gemma":0.0348665,"domain_scores_codex":[0.9989151,0.0001558348,0.0001439362,0.0003825719,0.0002290234,0.0001735921],"domain_scores_gemma":[0.9972127,0.000848632,0.0002605194,0.0007150213,0.0006508226,0.0003122237],"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":[0.00003007315,0.00001145882,0.0003726887,0.0006081412,0.00001625851,0.00001543992,0.00002438505,0.0001214262,0.0001115859,0.0003788304,0.9970175,0.001292133],"study_design_scores_gemma":[0.00008179821,0.000008564284,0.0018539,0.0002082559,0.0000157722,0.00003765997,0.00007219534,0.0001350315,0.0001794352,0.0007933566,0.9965952,0.00001873849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003743777,0.00002592412,0.00004044237,0.00003455751,0.00001084137,0.000005260972,0.998952,0.000330917,0.0005625257],"genre_scores_gemma":[0.0001669431,0.00003500192,0.0001889771,0.00004855504,0.000003629254,0.00004602495,0.9988995,0.0001491598,0.0004622378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301059,"threshold_uncertainty_score":0.5683523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}