{"id":"W6924503442","doi":"10.15468/dl.mtarnj","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mosquito-borne diseases and control","field":"Medicine","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":[0.0009910469,0.001878695,0.001600866,0.004816004,0.0008787225,0.002420343,0.002695233,0.002130129,0.1378738],"category_scores_gemma":[0.005964,0.0008311313,0.001207895,0.009240457,0.0004290547,0.001981416,0.002252504,0.001933723,0.1773766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576058,"about_ca_system_score_gemma":0.002300341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019136,"about_ca_topic_score_gemma":0.03234058,"domain_scores_codex":[0.9990053,0.0001479728,0.0001456777,0.0003316993,0.0002126622,0.0001567414],"domain_scores_gemma":[0.9977614,0.0006861833,0.0002346718,0.0005270626,0.0005256223,0.0002651344],"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":[0.00003550731,0.00001183968,0.0004358101,0.0006225849,0.00001809176,0.00001751449,0.00002020271,0.0001573679,0.0001097308,0.0003874091,0.9966881,0.001495818],"study_design_scores_gemma":[0.0001001924,0.000009634803,0.002103052,0.0002467988,0.00001833757,0.00004550094,0.00006680205,0.0001974728,0.0001930634,0.0008459603,0.996155,0.00001815763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003851318,0.00003219342,0.00003801656,0.00003935598,0.00001152734,0.000005108197,0.9990189,0.0002972645,0.0005191426],"genre_scores_gemma":[0.0001698321,0.0000428585,0.0001726162,0.00005093462,0.00000372671,0.00003768047,0.9990261,0.0001035387,0.0003928198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8621262,"threshold_uncertainty_score":0.4612337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430205338040195,"score_gpt":0.2381175952887383,"score_spread":0.2238155419083363,"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."}}