{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001846741,0.001130311,0.0009269217,0.00463637,0.003481755,0.01042553,0.001489065,0.002530501,0.8118498],"category_scores_gemma":[0.014361,0.000456868,0.0007734225,0.004206594,0.001121695,0.008291614,0.008327398,0.001856567,0.5819651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145219,"about_ca_system_score_gemma":0.001965678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506732,"about_ca_topic_score_gemma":0.003368893,"domain_scores_codex":[0.997654,0.000387275,0.0001843452,0.000373389,0.001117394,0.000283715],"domain_scores_gemma":[0.9935115,0.001165051,0.000484893,0.001494647,0.001597778,0.0017461],"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":[0.00005547903,0.00002515425,0.0003190779,0.0001384466,0.000006511818,0.0001181356,0.0002361244,0.0000268231,0.0002472867,0.009023628,0.900939,0.08886418],"study_design_scores_gemma":[0.000003173702,0.000004973644,0.0001960467,0.00006496088,0.000001787226,0.00004408601,0.0001053397,0.00002339294,0.00005389069,0.0007468098,0.9987509,0.000004526892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00112552,0.002180745,0.001715445,0.01334115,0.02823904,0.0001412772,0.003485597,0.003310201,0.9464609],"genre_scores_gemma":[0.005220273,0.001111427,0.001020582,0.00247141,0.006387175,0.00008906842,0.00143709,0.001915569,0.9803473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1881502,"threshold_uncertainty_score":0.2683735,"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."}}