{"id":"W6906143114","doi":"10.15468/dl.qisu7g","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); Training set","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":[0.0009099464,0.001999248,0.001571887,0.005124288,0.0009880196,0.0029137,0.002940881,0.001949082,0.1567285],"category_scores_gemma":[0.006255613,0.0008752708,0.001247055,0.01064048,0.0004217906,0.002526763,0.002630847,0.002072741,0.2413839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705069,"about_ca_system_score_gemma":0.002466469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253596,"about_ca_topic_score_gemma":0.03730849,"domain_scores_codex":[0.9989538,0.000140838,0.0001315481,0.0003717174,0.0002294577,0.000172594],"domain_scores_gemma":[0.9977191,0.0006376446,0.0002009126,0.0005901907,0.0005890271,0.0002631105],"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":[0.00002465393,0.000009067451,0.0003638437,0.0004954815,0.0000136977,0.00001284156,0.00001980472,0.0001121214,0.00007558973,0.0003573245,0.9970913,0.001424203],"study_design_scores_gemma":[0.00005817155,0.000006898105,0.001443109,0.0001775772,0.00001304198,0.00003345475,0.00006593661,0.0001593017,0.0001414109,0.0007982491,0.9970881,0.00001463654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004055676,0.00003803159,0.00004697453,0.00004336954,0.00001354662,0.000005123886,0.9986603,0.0004220378,0.0007299556],"genre_scores_gemma":[0.0001540556,0.00004393328,0.0001828444,0.00004590634,0.000003832706,0.00003743487,0.9988616,0.0001478419,0.0005225978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432715,"threshold_uncertainty_score":0.5243091,"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."}}