{"id":"W6905756845","doi":"10.15468/dl.k7x75p","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.0009781576,0.001984072,0.001695839,0.005349281,0.00097136,0.002648996,0.002977513,0.002104179,0.1469962],"category_scores_gemma":[0.00627434,0.0008484789,0.001199296,0.01047852,0.0004237135,0.002317572,0.00253572,0.002038081,0.2067168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516696,"about_ca_system_score_gemma":0.00233979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194275,"about_ca_topic_score_gemma":0.03305107,"domain_scores_codex":[0.9989393,0.0001455038,0.0001338147,0.0003682473,0.0002360525,0.0001771044],"domain_scores_gemma":[0.9975643,0.0006863808,0.0002387916,0.0006188959,0.0006090627,0.0002825533],"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":[0.00002893414,0.0000113996,0.0004082246,0.0005484981,0.00001739093,0.00001542104,0.00002153328,0.0001276609,0.0001026113,0.0003752168,0.996946,0.001397162],"study_design_scores_gemma":[0.00007653901,0.000008588217,0.002012697,0.0002174363,0.00001729641,0.00003988554,0.00006760467,0.0001625065,0.0001803902,0.0008294444,0.9963701,0.00001760124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004381318,0.00003490331,0.00004249817,0.00003495197,0.0000113294,0.000004850077,0.9988783,0.0003584141,0.0005909982],"genre_scores_gemma":[0.0001555402,0.00003508812,0.0001638652,0.00004023241,0.000003418662,0.00003517208,0.9990494,0.0001170188,0.000400361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530037,"threshold_uncertainty_score":0.4917514,"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."}}