{"id":"W6887318904","doi":"10.15468/dl.wak6vt","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); Data set; Set (abstract data type)","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":[0.0009880272,0.001958285,0.001543316,0.005423038,0.0008681357,0.002418119,0.002670744,0.001915752,0.1635488],"category_scores_gemma":[0.005694205,0.0008771088,0.001125915,0.01051069,0.0004350361,0.002164455,0.002493814,0.001809071,0.220725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544243,"about_ca_system_score_gemma":0.002352045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229101,"about_ca_topic_score_gemma":0.03583999,"domain_scores_codex":[0.999,0.0001338991,0.0001387231,0.0003306046,0.0002227636,0.0001739041],"domain_scores_gemma":[0.9974998,0.0006458405,0.0002511531,0.0006535782,0.0006416986,0.0003079726],"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":[0.00003288985,0.00001085296,0.0003682039,0.0005552971,0.00001530714,0.00001408975,0.00002110969,0.0001254492,0.000119001,0.0003515721,0.9968894,0.001496789],"study_design_scores_gemma":[0.00007228227,0.000008433282,0.002029037,0.0001852008,0.00001476298,0.00003520077,0.00006316313,0.000134177,0.0001839817,0.0006904656,0.9965655,0.00001782318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003390076,0.00002161433,0.0000304399,0.00002661421,0.000009453027,0.000004251177,0.9991156,0.0002584622,0.0004994837],"genre_scores_gemma":[0.0001347828,0.00002881064,0.0001481567,0.00003759089,0.000003179804,0.00003350703,0.9990969,0.0001028361,0.0004142859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364512,"threshold_uncertainty_score":0.5471252,"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."}}