{"id":"W6924756523","doi":"10.15468/dl.xpmfcj","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Persona Design and Applications","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001269584,0.0002316342,0.0002114504,0.00005607378,0.0002769779,0.0003360554,0.001729597,0.0002139318,0.0001616071],"category_scores_gemma":[0.00006597469,0.0002437315,0.0001282257,0.000572871,0.00009212954,0.001436831,0.0006460897,0.0002551293,0.3979567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805267,"about_ca_system_score_gemma":0.0002021916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082484,"about_ca_topic_score_gemma":0.000002134772,"domain_scores_codex":[0.9986805,0.00004567269,0.0002862463,0.0003017042,0.0004442545,0.0002416741],"domain_scores_gemma":[0.9986766,0.00001706525,0.0002239639,0.0006912936,0.0001600314,0.0002310619],"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":[0.000004934722,0.00002022279,0.00002949461,0.00006065323,0.00001190879,0.000001548741,0.00005113795,0.000001546547,1.123976e-7,0.000003622418,0.9977324,0.002082403],"study_design_scores_gemma":[0.0001621181,0.00002168407,0.00002252342,0.000001187296,0.00001393862,0.000004195714,0.00002272678,0.000005164089,0.000003039165,0.000004216623,0.999494,0.0002452101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005371292,0.00001028368,0.002980618,0.00104034,0.0002344236,0.0002564736,0.9951556,0.0002139879,0.0001029054],"genre_scores_gemma":[0.000007960755,0.00003731215,0.00004538299,0.001910564,0.00000147438,0.000006762792,0.9979905,5.995135e-9,5.391483e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3977951,"threshold_uncertainty_score":0.9939083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217141576667088,"score_gpt":0.2215951484944985,"score_spread":0.1994237327278277,"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."}}