{"id":"W6924778131","doi":"10.15468/dl.q3dswx","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"HIV, TB, and STIs Epidemiology","field":"Social Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007769278,0.000234249,0.000396754,0.00005727591,0.0008876135,0.0001262493,0.0007875946,0.0005936856,0.002320314],"category_scores_gemma":[0.00181903,0.0002500588,0.0001841095,0.0003775994,0.0006192813,0.0008101581,0.0002503864,0.0003802056,0.3689697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961632,"about_ca_system_score_gemma":0.0004764569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00653283,"about_ca_topic_score_gemma":0.0006003135,"domain_scores_codex":[0.997907,0.0004072231,0.0004470411,0.0002576027,0.0005384343,0.0004427437],"domain_scores_gemma":[0.9986566,0.00008942309,0.0003445514,0.000304958,0.0002344999,0.0003699148],"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":[0.00003001002,0.0000143074,0.001395717,0.00005706478,0.00001962343,0.000002760617,0.0009066496,0.000002135258,5.173406e-9,0.00000341581,0.9960009,0.001567395],"study_design_scores_gemma":[0.000167882,0.00002948829,0.00007533335,0.000001702222,0.00003493078,7.030483e-7,0.001286948,9.278652e-8,9.469656e-8,0.000005258206,0.9981524,0.0002451836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006941506,0.00001718666,0.000009792509,0.001836631,0.0008251225,0.0003128046,0.9949196,0.0001279117,0.001881532],"genre_scores_gemma":[0.00001829391,0.0003347654,0.000002298231,0.001939644,0.000008960978,0.000002845865,0.9976926,1.046418e-8,5.105541e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3666494,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366378897761897,"score_gpt":0.2835928457715203,"score_spread":0.2469549559953306,"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."}}