{"id":"W25027412","doi":"10.1016/j.neurobiolaging.2014.06.007","title":"Multiple Media Outlets for Composition","year":2011,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Catalysis and Oxidation Reactions","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; GE Healthcare; National Institutes of Health; Gobierno de Navarra; Genentech; IXICO; Servier; Ministerio de Ciencia y Tecnología; Pfizer; Bristol-Myers Squibb Foundation; Novartis Pharmaceuticals Corporation; Takeda Pharmaceuticals North America; Roche; Biogen Idec; Eli Lilly and Company; Alzheimer's Disease Neuroimaging Initiative; American Federation for Aging Research; National Institute on Aging; Alzheimer's Association","keywords":"Composition (language); Computer science; Advertising; Internet privacy; Business; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003473525,0.00004657037,0.00009604649,0.00004591657,0.00002413341,0.000001151904,0.0000542197,0.00003602622,0.0000534925],"category_scores_gemma":[0.00003476186,0.00004500861,0.0000564708,0.0000385944,0.00002670079,0.00003054846,0.00001448002,0.00004897255,0.000008715532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005208834,"about_ca_system_score_gemma":0.000002652944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001691437,"about_ca_topic_score_gemma":0.000004505782,"domain_scores_codex":[0.9996727,0.000006318614,0.0001242784,0.00009607202,0.00001764976,0.00008297506],"domain_scores_gemma":[0.9996654,0.0001487472,0.00004753964,0.00008749273,0.00003115871,0.00001963198],"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":[0.00001052165,0.00003666225,0.002179302,0.00001398064,0.00001843124,2.366148e-7,0.0002995691,0.0001053772,0.9958353,0.0007916872,0.0001202185,0.0005887038],"study_design_scores_gemma":[0.0003289171,0.00001732869,0.0127121,0.000008590097,0.00002457185,0.000003130839,0.00002968102,0.002495574,0.9836766,0.00006742778,0.0005693978,0.00006674528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856054,0.00001218991,0.01324573,0.00007428776,0.0002197927,0.00006944458,0.00002391991,0.00005705402,0.0006922111],"genre_scores_gemma":[0.9977164,0.000002689332,0.002068143,0.00005138652,0.00003891777,0.000008876737,0.00008610053,0.000006880614,0.00002058567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215878,"threshold_uncertainty_score":0.1835398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335167501151724,"score_gpt":0.2364471517749026,"score_spread":0.2029304016597302,"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."}}