{"id":"W4396486994","doi":"10.15468/dl.gq9x5s","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001731168,0.0002056847,0.0001574806,0.00002652335,0.0003279804,0.00005145247,0.0004572645,0.0002824997,0.01002183],"category_scores_gemma":[0.0001090622,0.0001955867,0.0001409393,0.0001457302,0.0001286535,0.00001136309,0.0005484555,0.0001997802,0.01322496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007258006,"about_ca_system_score_gemma":0.00008945795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293169,"about_ca_topic_score_gemma":0.00000597186,"domain_scores_codex":[0.9990324,0.00007292828,0.0002176939,0.0002588438,0.0002096134,0.0002084722],"domain_scores_gemma":[0.9991386,0.000007277456,0.0001714239,0.0004854157,0.00009217429,0.0001051384],"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":[0.00004322294,0.00004429738,0.0001946075,0.00003492043,0.0000240107,5.028609e-7,0.000002617192,0.00001895447,0.00000979619,1.29789e-7,0.9988533,0.0007736949],"study_design_scores_gemma":[0.0002108088,0.00013078,0.00006539629,3.506017e-7,0.00002327435,0.000004453633,0.00003235339,3.825241e-8,0.00002949707,5.030964e-7,0.9992771,0.0002254977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002426827,0.00003823213,0.000007154318,0.000115602,0.0002079195,0.0003056675,0.9967923,0.00002500613,0.00008135432],"genre_scores_gemma":[0.00009651584,0.0001310876,0.000001178271,0.0008142897,0.000002501019,0.00002262924,0.9989315,1.500733e-8,3.018204e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003203128,"threshold_uncertainty_score":0.9908832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097508435370778,"score_gpt":0.2252403757961997,"score_spread":0.2142652914424919,"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."}}