{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003953997,0.0007824554,0.0005698267,0.0009323832,0.001077513,0.002778817,0.0007471588,0.001685731,0.3000217],"category_scores_gemma":[0.0008191152,0.0002988293,0.0007865402,0.0004776979,0.0004462092,0.0008149194,0.0006924569,0.002085976,0.105807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314379,"about_ca_system_score_gemma":0.0005879937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145952,"about_ca_topic_score_gemma":0.009650824,"domain_scores_codex":[0.9998049,0.000007430594,0.00000793874,0.0000269786,0.00009910842,0.00005353871],"domain_scores_gemma":[0.9995441,0.00005270814,0.00002961264,0.00003532703,0.0001523464,0.000185788],"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":[0.0003357081,0.0000637049,0.0001504101,0.0001078795,0.000009897734,0.000156452,0.000009170999,0.0001148904,0.003659577,0.002031608,0.962199,0.03116166],"study_design_scores_gemma":[0.00004144428,0.00009683638,0.001294145,0.0000531255,0.000007846877,0.0001027859,0.00001963521,0.0001439328,0.003149007,0.001042466,0.9940356,0.00001311926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007228341,0.01488581,0.00374378,0.05225684,0.1462485,0.0004700869,0.009895151,0.004655974,0.7606155],"genre_scores_gemma":[0.009506203,0.003032797,0.0008106202,0.006633128,0.00856467,0.00004617363,0.004247051,0.0003584322,0.9668009],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3000217,"threshold_uncertainty_score":0.9984341,"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."}}