{"id":"W6924619124","doi":"10.15468/dl.nawivw","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); R package; Species name","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":[0.0009749258,0.002069103,0.001537378,0.004886194,0.0008254494,0.002244575,0.002657234,0.001929826,0.1346422],"category_scores_gemma":[0.005497413,0.0007960302,0.001123884,0.009235905,0.0004291285,0.001838508,0.002286909,0.001705331,0.1815485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760249,"about_ca_system_score_gemma":0.00255127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03028143,"about_ca_topic_score_gemma":0.04709664,"domain_scores_codex":[0.9990664,0.000124307,0.0001256805,0.0003110641,0.0002055714,0.0001669702],"domain_scores_gemma":[0.9978587,0.0005676005,0.0002184072,0.0005020886,0.0005534422,0.0002996722],"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":[0.00003865219,0.00001040861,0.0004265627,0.0004946331,0.00001653995,0.00001668227,0.00001826171,0.0001376093,0.0001052109,0.00031834,0.9969964,0.001420642],"study_design_scores_gemma":[0.00009214112,0.00001027782,0.002572731,0.0002090464,0.00001655747,0.00004695667,0.00006477549,0.0001940371,0.0001972152,0.0007304976,0.9958463,0.00001935986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003806104,0.00002829824,0.00002981462,0.00003089814,0.000009855024,0.000004643266,0.9990694,0.0003092625,0.0004797588],"genre_scores_gemma":[0.0001516808,0.00003380833,0.000132465,0.00004187192,0.000003341051,0.000030135,0.9991528,0.00009540938,0.0003585286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8653578,"threshold_uncertainty_score":0.4504232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320349865462818,"score_gpt":0.2185438431768579,"score_spread":0.2053403445222297,"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."}}