{"id":"W6924739815","doi":"10.15468/dl.xqr5zt","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","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":[0.001190405,0.002070591,0.001625263,0.004548885,0.001063615,0.002770339,0.003007454,0.00220112,0.1363254],"category_scores_gemma":[0.00641973,0.0009219044,0.001222467,0.008601948,0.0004839995,0.002246299,0.002479932,0.002215867,0.2029534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706086,"about_ca_system_score_gemma":0.002505675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087402,"about_ca_topic_score_gemma":0.03583502,"domain_scores_codex":[0.9988809,0.0001695385,0.0001440824,0.0003830366,0.0002492343,0.0001731885],"domain_scores_gemma":[0.9974465,0.0007462215,0.0002330781,0.0006580755,0.0006104514,0.0003056429],"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":[0.00003305741,0.00001278506,0.0004163392,0.0004899106,0.00001544933,0.00001558284,0.00002115819,0.0001367007,0.0001016071,0.0003905219,0.9971048,0.001261974],"study_design_scores_gemma":[0.00008813506,0.000008977609,0.0018255,0.0002015109,0.00001513509,0.00004189265,0.0000715476,0.00019049,0.0001914972,0.0009006028,0.9964465,0.00001822075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004155118,0.00002792697,0.0000437837,0.00004107434,0.00001232923,0.000005459771,0.9989119,0.0003445508,0.0005714206],"genre_scores_gemma":[0.0001481055,0.00003280858,0.0001856678,0.00004677452,0.000003430022,0.00003559338,0.9990259,0.0001191871,0.0004025339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8636746,"threshold_uncertainty_score":0.4560537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585039026968418,"score_gpt":0.2343494602738418,"score_spread":0.2184990700041577,"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."}}