{"id":"W4250453028","doi":"10.1093/neuonc/not047","title":"Abstracts","year":2013,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007513657,0.0001011015,0.0001130343,0.00001595812,0.00006322542,0.00001501237,0.0001608725,0.0002043079,0.0001772362],"category_scores_gemma":[0.0001425213,0.0000792715,0.00005511303,0.00004835421,0.00009011634,0.000001962687,0.00008208465,0.0001192631,0.0006187023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074826,"about_ca_system_score_gemma":0.00004756053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002896167,"about_ca_topic_score_gemma":0.000008356472,"domain_scores_codex":[0.9992431,0.00006468581,0.0001508048,0.0002782966,0.00004459497,0.0002185075],"domain_scores_gemma":[0.9994746,0.00006214071,0.00006018085,0.0002446444,0.00005095281,0.0001074386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007229315,0.00007644773,0.0001965299,0.000001990629,0.000006133076,0.000002963822,0.00000473656,0.00001578287,0.9563224,0.0002163021,0.02217424,0.02097526],"study_design_scores_gemma":[0.0002411676,0.0006499183,0.006909647,7.452697e-7,0.000004611864,0.00003130934,0.00001245522,0.00002430819,0.1881253,0.0002232781,0.8036789,0.00009843991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670339,0.00007519194,0.0001991109,0.002957609,0.0001642313,0.0003148293,0.000004728126,0.00003107668,0.0292193],"genre_scores_gemma":[0.9943947,0.00007056181,0.0006355056,0.00423466,0.0002550258,0.0001458652,0.00004427553,0.00001152048,0.0002078641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7815046,"threshold_uncertainty_score":0.7952373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381692975904463,"score_gpt":0.2777574979861339,"score_spread":0.2639405682270892,"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."}}