{"id":"W7083629441","doi":"10.15468/dl.xxuw3p","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Tuberculosis Research and Epidemiology","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":[0.001040621,0.001872794,0.001483337,0.004565349,0.0008347482,0.002406304,0.002648355,0.002012458,0.1327725],"category_scores_gemma":[0.006188625,0.000870025,0.001238605,0.008260458,0.0004366646,0.002093652,0.00235318,0.001928297,0.1857643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610147,"about_ca_system_score_gemma":0.002339597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038912,"about_ca_topic_score_gemma":0.03492256,"domain_scores_codex":[0.9988933,0.0001763552,0.0001529221,0.0003722326,0.0002333457,0.0001718668],"domain_scores_gemma":[0.9974396,0.0006888475,0.0002504819,0.0006848346,0.0006207159,0.0003154723],"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":[0.00003516819,0.00001194088,0.0004261814,0.0005664097,0.00001753716,0.00001530092,0.00001951682,0.0001390223,0.0001073083,0.0003803309,0.9968926,0.00138875],"study_design_scores_gemma":[0.0000935132,0.000009658515,0.001975398,0.0002011485,0.00001503969,0.00004069817,0.00005718016,0.0001760692,0.0001776947,0.0008100233,0.9964271,0.00001651712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004208259,0.00003217545,0.00003844874,0.00004238576,0.00001194353,0.000006082929,0.9988571,0.0003695739,0.0006001713],"genre_scores_gemma":[0.0001755013,0.00003891608,0.0001743728,0.0000610283,0.000004051797,0.00003512142,0.9989851,0.000122556,0.0004033317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8672276,"threshold_uncertainty_score":0.4441682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301584904443442,"score_gpt":0.2911581212154428,"score_spread":0.2681422721710084,"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."}}