{"id":"W4396489945","doi":"10.15468/dl.jct2c4","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Medicinal Plant Extracts Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[],"category_scores_codex":[0.0004586587,0.0003416775,0.0005212438,0.0001874401,0.0001625677,0.00006150803,0.0002897845,0.0005088852,0.0007706363],"category_scores_gemma":[0.0008710921,0.0003158402,0.0001829184,0.0004927129,0.0001666865,0.0004870741,0.0002163846,0.0005689717,0.7245904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131695,"about_ca_system_score_gemma":0.0003242426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009010032,"about_ca_topic_score_gemma":0.00001508736,"domain_scores_codex":[0.9978961,0.0000567563,0.0004596382,0.0002700026,0.0009288572,0.0003886445],"domain_scores_gemma":[0.9983475,0.00007601664,0.000300015,0.0006093156,0.0002792642,0.0003879028],"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":[0.0002460507,0.00004742967,0.0008810157,0.001112367,0.00007222952,0.00008283876,0.00002006567,0.000001792111,2.440591e-7,2.645822e-8,0.9964042,0.001131774],"study_design_scores_gemma":[0.0008685837,0.0001641279,0.000831826,0.00003214079,0.0002506179,0.00008744318,0.00007898127,2.797885e-7,0.000003527788,2.976626e-7,0.997427,0.0002551145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009868736,0.00001988904,0.000001645746,0.0003924942,0.001035781,0.0007298037,0.9963828,0.0002545044,0.000196185],"genre_scores_gemma":[0.00001001098,0.0001158745,0.000001169199,0.001176975,0.000005382738,0.000004855557,0.9986849,2.62118e-8,7.404219e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7238197,"threshold_uncertainty_score":0.9999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048272249104178,"score_gpt":0.2519006645980876,"score_spread":0.2314179421070459,"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."}}