{"id":"W2127510937","doi":"10.1126/scisignal.287pc16","title":"<i>Science Signaling</i> Podcast: 8 September 2009","year":2009,"lang":"en","type":"article","venue":"Science Signaling","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology","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":[0.002622074,0.00020545,0.0001652291,0.0003484607,0.0006470626,0.0002938049,0.001314897,0.0001157053,0.00007906272],"category_scores_gemma":[0.0006173388,0.0001724182,0.00009503278,0.001527446,0.002125712,0.00004162669,0.0002667451,0.0001935052,0.0001311217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004898128,"about_ca_system_score_gemma":0.001280086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005566028,"about_ca_topic_score_gemma":0.000001850216,"domain_scores_codex":[0.9964043,0.00002670762,0.000379239,0.000649371,0.001463285,0.001077111],"domain_scores_gemma":[0.9982749,0.00001824784,0.0001078511,0.0005192202,0.0005151704,0.0005646404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001515993,0.00004799323,0.0001480411,0.000007462728,0.000003020241,0.000003391723,0.00009661161,0.0001338083,0.9872233,0.0001161514,0.0009341737,0.0112709],"study_design_scores_gemma":[0.0002837755,0.0006429181,0.0005215172,0.00003187542,0.000006473516,0.0000216308,0.0002502312,0.001199745,0.9793566,0.0005085138,0.01687478,0.000301963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679941,0.0003833515,0.004414279,0.0005342626,0.0004201399,0.0002581834,0.00001235347,0.00003760556,0.02594573],"genre_scores_gemma":[0.9911207,0.00004992738,0.005885762,0.001453102,0.0003464257,0.000002851991,0.00001123708,0.000008923822,0.001121054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02482468,"threshold_uncertainty_score":0.7832274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167540250386816,"score_gpt":0.2997301798634344,"score_spread":0.2829761548247528,"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."}}