{"id":"W6924813221","doi":"10.15468/dl.zf2q54","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Infective Endocarditis Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data 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":[0.0008159225,0.00180403,0.001384968,0.004332308,0.0007891757,0.002267665,0.00265385,0.001993275,0.1032447],"category_scores_gemma":[0.005317774,0.0007275867,0.00119031,0.007645081,0.0004068796,0.00171392,0.002041021,0.001712468,0.1591253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572732,"about_ca_system_score_gemma":0.002113976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014675,"about_ca_topic_score_gemma":0.0356784,"domain_scores_codex":[0.9991623,0.0001200477,0.0001266279,0.0002886791,0.0001736553,0.0001286731],"domain_scores_gemma":[0.9981732,0.0005268793,0.0001791625,0.0004418841,0.000465415,0.0002134639],"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":[0.00004090719,0.0000145991,0.0006089393,0.0007077184,0.00002041886,0.00002304115,0.00002350017,0.0001891593,0.0001240115,0.0003853303,0.9958825,0.001979944],"study_design_scores_gemma":[0.0000990193,0.00001141324,0.002444105,0.0002535629,0.00002042537,0.00006077465,0.00007989759,0.0002685742,0.0002334285,0.0008635094,0.9956456,0.00001971078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005765768,0.0000464192,0.00005104778,0.00004630999,0.00001369291,0.000006864289,0.998705,0.0004282087,0.0006447105],"genre_scores_gemma":[0.0002018376,0.00004967577,0.0002174318,0.00005547756,0.000003999903,0.0000382445,0.9989134,0.00009896303,0.0004209466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8967553,"threshold_uncertainty_score":0.345388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945269634972899,"score_gpt":0.2488153341312891,"score_spread":0.2293626377815601,"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."}}