{"id":"W4396358353","doi":"10.15468/dl.ggyrxd","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Geography; Genealogy; Computer science; History; World Wide Web","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":[0.0008414416,0.002381245,0.001691391,0.004925501,0.001109736,0.00272098,0.003382071,0.002261924,0.1158134],"category_scores_gemma":[0.005211313,0.0008373153,0.001375806,0.009012734,0.0004649714,0.00251359,0.002633638,0.002205285,0.2106941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177719,"about_ca_system_score_gemma":0.002441105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02783181,"about_ca_topic_score_gemma":0.04513751,"domain_scores_codex":[0.9989428,0.0001347291,0.0001301732,0.0003439432,0.0002662181,0.0001820783],"domain_scores_gemma":[0.9981018,0.0004479896,0.0001556152,0.0005217966,0.0005532324,0.0002195372],"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":[0.00002708202,0.00001370774,0.0003258021,0.0003735067,0.00001287676,0.00001720706,0.00001887185,0.0001281251,0.00008676261,0.0003274221,0.9972584,0.001410123],"study_design_scores_gemma":[0.000080321,0.000009387928,0.001697252,0.0001654754,0.00001387123,0.0000514913,0.00008251445,0.0003050795,0.0002164324,0.0008342108,0.9965253,0.00001850311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006896887,0.00004301916,0.00006782435,0.00005214784,0.00001760563,0.000008091221,0.9981807,0.0007331769,0.0008284501],"genre_scores_gemma":[0.000153625,0.000032388,0.0001912846,0.00003656187,0.000003344881,0.0000344574,0.9990282,0.0001280121,0.00039218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8841866,"threshold_uncertainty_score":0.3874344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484481337130455,"score_gpt":0.2284793506544914,"score_spread":0.2136345372831868,"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."}}