{"id":"W6943604175","doi":"10.15468/dl.uhmc5f","title":"Occurrence Download","year":2017,"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); Order (exchange); 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":[0.001087843,0.00205217,0.001700124,0.005533299,0.001003426,0.002721547,0.003203389,0.002193449,0.1404521],"category_scores_gemma":[0.006628683,0.000881623,0.001276763,0.01091278,0.0004777815,0.002354678,0.002691426,0.002104795,0.2022265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628311,"about_ca_system_score_gemma":0.002591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151708,"about_ca_topic_score_gemma":0.03595533,"domain_scores_codex":[0.9988722,0.0001582923,0.0001490517,0.0003827363,0.0002462833,0.0001913839],"domain_scores_gemma":[0.997311,0.0007464364,0.0002607976,0.0007078311,0.0006679776,0.0003058329],"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":[0.00003170126,0.00001212598,0.0004254948,0.0005828476,0.00001836456,0.00001647084,0.00002333322,0.000136852,0.0001141802,0.000409234,0.9968862,0.001343261],"study_design_scores_gemma":[0.00008595515,0.000009055719,0.002005556,0.0002216693,0.00001756259,0.00004034515,0.00007590031,0.0001569085,0.0001888659,0.0008478014,0.9963313,0.00001906557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000446815,0.00003238151,0.00004227342,0.00003631156,0.00001227222,0.000005228717,0.998904,0.0003467897,0.000576106],"genre_scores_gemma":[0.000149232,0.00003334766,0.0001557214,0.00003956664,0.000003321796,0.0000352824,0.9991063,0.0001152897,0.0003619106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8595479,"threshold_uncertainty_score":0.4698592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}