{"id":"W2706507540","doi":"","title":"Advances in Experimental Medicine and Biology: Foreword","year":2010,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computational biology; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007406633,0.0003813827,0.0009424145,0.0006530635,0.0001084854,0.000004548241,0.0002147615,0.0002528147,0.0004259053],"category_scores_gemma":[0.0005120626,0.0002399501,0.00003558199,0.0005213099,0.004697787,0.0003649726,0.0001681836,0.0006656083,0.000003641076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007032873,"about_ca_system_score_gemma":0.00005763355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003661356,"about_ca_topic_score_gemma":0.0004176837,"domain_scores_codex":[0.9974461,0.00009753703,0.0006502376,0.000847706,0.000215019,0.000743377],"domain_scores_gemma":[0.9986882,0.0003931975,0.0001280997,0.0003188433,0.00005099535,0.0004206244],"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":[0.0006247767,0.0002871161,0.1643332,0.00007122396,0.00001092763,0.00007131171,0.003571399,1.742463e-7,0.7417064,0.006550774,0.0001396415,0.08263306],"study_design_scores_gemma":[0.05020029,0.03690113,0.03685287,0.002463037,0.00009242081,0.001995624,0.1073106,0.0005860247,0.1951772,0.01091783,0.5559313,0.001571653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7656444,0.2185799,0.00003337086,0.003558138,0.001160781,0.0005663927,0.000002698897,0.00003747565,0.01041685],"genre_scores_gemma":[0.9611726,0.03457925,0.0007750049,0.002343033,0.0008557966,0.0001258623,0.0000491156,0.00002030333,0.00007902856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5557917,"threshold_uncertainty_score":0.9980109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311120193906008,"score_gpt":0.4591477271940935,"score_spread":0.4060365252550334,"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."}}