{"id":"W6924499330","doi":"10.15468/dl.r6sf3t","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.001751518,0.0002261002,0.0002779229,0.0001463175,0.001288056,0.0003089513,0.001040705,0.0006452028,0.001477401],"category_scores_gemma":[0.001852166,0.0002579792,0.0001301984,0.001001876,0.0005465963,0.001566982,0.0003678041,0.00040007,0.7274194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169719,"about_ca_system_score_gemma":0.001451742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02611226,"about_ca_topic_score_gemma":0.001237535,"domain_scores_codex":[0.9971986,0.0002760981,0.0004753002,0.0002467309,0.001157985,0.0006453225],"domain_scores_gemma":[0.9981845,0.0000888006,0.0003591337,0.0004784446,0.0004394293,0.000449698],"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":[0.00001154352,0.00001718699,0.0004570458,0.000112415,0.00001326871,0.000001960878,0.0003881925,0.000001343921,7.682933e-10,0.000001535977,0.9969863,0.002009202],"study_design_scores_gemma":[0.0001638034,0.00001313754,0.0001547497,0.000002788166,0.00001611517,4.317402e-7,0.0009723277,3.306883e-8,3.963452e-8,0.000004209867,0.9984326,0.0002397157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007259176,0.000008002557,0.000001182933,0.002558646,0.002265434,0.0004707474,0.9929756,0.0003678344,0.001279965],"genre_scores_gemma":[0.000001792623,0.0002268444,9.595076e-7,0.00117849,0.000007613874,0.000007455208,0.9985756,1.436481e-8,0.000001288768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.725942,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664856279695775,"score_gpt":0.3060345603290016,"score_spread":0.2693859975320438,"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."}}