{"id":"W6887000594","doi":"10.15468/dl.ktkfk9","title":"Occurrence Download","year":2020,"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); The Internet","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":[0.001054401,0.001858586,0.001636385,0.006942507,0.000820729,0.002474417,0.002592627,0.001715682,0.2034093],"category_scores_gemma":[0.00638553,0.0009277345,0.001027462,0.01321333,0.0004169434,0.002351688,0.002476677,0.001715507,0.2419254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635231,"about_ca_system_score_gemma":0.002477196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283047,"about_ca_topic_score_gemma":0.0356547,"domain_scores_codex":[0.9988974,0.0001391499,0.0001604342,0.0003691012,0.0002470958,0.0001867644],"domain_scores_gemma":[0.9970379,0.0008095248,0.0003100804,0.0006985979,0.0007773258,0.0003665465],"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":[0.00002849445,0.000008706702,0.0003326826,0.0005714889,0.0000141931,0.00001383193,0.00002070431,0.0001009495,0.00009965622,0.0003585274,0.9970016,0.001449135],"study_design_scores_gemma":[0.00005925159,0.000007051452,0.001933362,0.0001850395,0.00001348613,0.00003136779,0.00006215177,0.00009963891,0.0001592906,0.0006102849,0.9968227,0.00001625289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002680668,0.00001868056,0.0000284826,0.00002333385,0.000007717365,0.000003754266,0.9991449,0.0002292763,0.0005170552],"genre_scores_gemma":[0.0001334172,0.0000307595,0.000149265,0.00003494092,0.000003247651,0.00003436495,0.9989824,0.0001284778,0.0005031818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7965907,"threshold_uncertainty_score":0.6804718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}