{"id":"W2312918775","doi":"10.1049/htl.2014.0056","title":"Editorial","year":2014,"lang":"es","type":"editorial","venue":"Healthcare Technology Letters","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Field (mathematics); Turnaround time; Health care; Domain (mathematical analysis); Data science; Telecommunications; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00494596,0.001679504,0.001515544,0.002453308,0.003042573,0.008976088,0.002837729,0.006732469,0.1321621],"category_scores_gemma":[0.04493865,0.0005621944,0.001661,0.001046751,0.001844553,0.005094953,0.002301371,0.01000381,0.1027984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101536,"about_ca_system_score_gemma":0.003903896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007379045,"about_ca_topic_score_gemma":0.001107375,"domain_scores_codex":[0.9940922,0.0007873201,0.0005286981,0.001145689,0.002844834,0.0006013276],"domain_scores_gemma":[0.9682375,0.005984501,0.001997857,0.00181338,0.0161909,0.005775911],"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":[0.00001564961,0.000005579883,0.0000324646,0.00008586358,0.000004031122,0.00007855807,0.00002111899,0.000009131012,0.0000386479,0.0005480259,0.9898828,0.009278269],"study_design_scores_gemma":[0.0000125795,0.0000156647,0.00009974271,0.0002205414,0.000006809017,0.0002614549,0.00005398557,0.0000224783,0.00007143909,0.0008589893,0.9983686,0.000007803421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001382144,0.005709973,0.000371033,0.08491175,0.8894271,0.00004385708,0.0003003157,0.0002873581,0.01881044],"genre_scores_gemma":[0.002948009,0.009191251,0.0005915369,0.09426665,0.7969621,0.00009052957,0.0006512758,0.0004038987,0.09489475],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1321621,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003825176680080808,"score_gpt":0.2307921459541818,"score_spread":0.226966969274101,"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."}}