{"id":"W7069159157","doi":"","title":"Editorial","year":2011,"lang":"es","type":"article","venue":"Canadian acoustics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003649254,0.001401441,0.001302736,0.002575369,0.002224008,0.005800412,0.001772125,0.008032147,0.06366014],"category_scores_gemma":[0.03061199,0.0005591481,0.001278791,0.00109037,0.00143847,0.001930363,0.001626968,0.009050311,0.02638321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122259,"about_ca_system_score_gemma":0.003731174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993867,"about_ca_topic_score_gemma":0.008433042,"domain_scores_codex":[0.9966264,0.0005182269,0.0002860709,0.0005216079,0.001597241,0.0004504892],"domain_scores_gemma":[0.9794174,0.004760109,0.001390364,0.001154685,0.009441465,0.003836097],"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":[0.00001493945,0.000003339972,0.00001977545,0.00004684753,0.000004393271,0.00004966656,0.000005021907,0.00000516597,0.00002149894,0.0001666086,0.9962538,0.003408777],"study_design_scores_gemma":[0.00002348914,0.000007616033,0.0001809921,0.0001407811,0.00001126565,0.0000902421,0.00002087013,0.00002106605,0.00005558939,0.0003037401,0.9991388,0.000005413261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008316491,0.003261464,0.00007129166,0.05326574,0.9350404,0.00002973523,0.0001465058,0.00005469996,0.00804707],"genre_scores_gemma":[0.001785483,0.003525865,0.0001324677,0.0526721,0.8834739,0.00005216051,0.000185249,0.00008276341,0.05808994],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06366014,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039578886461439,"score_gpt":0.3124833868578125,"score_spread":0.2085254982116686,"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."}}