{"id":"W6887203879","doi":"10.15468/dl.rcock2","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":"Geodetic datum; Extant taxon; Download; Mammal; Vertebrate","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":["insufficient_payload"],"category_scores_codex":[0.0008298996,0.002674499,0.002165997,0.006279586,0.001326252,0.003720344,0.002530348,0.002454877,0.3652699],"category_scores_gemma":[0.006083372,0.0009860519,0.001877039,0.008900184,0.0004124966,0.003560729,0.003567629,0.002413836,0.4588204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474229,"about_ca_system_score_gemma":0.002721696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170795,"about_ca_topic_score_gemma":0.03903517,"domain_scores_codex":[0.998792,0.000144414,0.0001569978,0.0004525693,0.0002495431,0.0002043883],"domain_scores_gemma":[0.9972852,0.0007351135,0.0001872108,0.0006692224,0.0006884673,0.000434665],"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":[0.0000419652,0.00001520612,0.0002293383,0.0004882057,0.00001138891,0.00001610455,0.00002004746,0.0000971036,0.0000853352,0.0003954683,0.9957222,0.002877723],"study_design_scores_gemma":[0.0000839539,0.00001343401,0.001064249,0.0001692994,0.00001498982,0.00004014388,0.00007556777,0.000260655,0.0001540248,0.001278343,0.9968215,0.00002382103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006016505,0.00007646681,0.0001299018,0.00008567201,0.00004499112,0.00001560115,0.9945306,0.002043043,0.003013487],"genre_scores_gemma":[0.0002547918,0.00009437012,0.0005895084,0.0001445939,0.00001326775,0.00006769065,0.9961134,0.0005564517,0.002165889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6347301,"threshold_uncertainty_score":0.9053654,"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."}}