{"id":"W6990352949","doi":"","title":"Desarrollo de una App de Realidad Virtual para Auscultación Cardíaca","year":2017,"lang":"es","type":"dissertation","venue":"Aaltodoc (Aalto University)","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Global Affairs Canada; University of Ontario Institute of Technology","keywords":"Limiting; Virtual world; Function (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.002699409,0.001869943,0.001210997,0.001305212,0.000566824,0.002836534,0.002236268,0.002176585,0.01599736],"category_scores_gemma":[0.01090136,0.0007463767,0.0011707,0.0004359623,0.0006452943,0.002659436,0.002626715,0.001430119,0.007414828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00048814,"about_ca_system_score_gemma":0.001402655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087092,"about_ca_topic_score_gemma":0.001557629,"domain_scores_codex":[0.9973853,0.0006279176,0.0002029572,0.0005067377,0.001035014,0.0002420169],"domain_scores_gemma":[0.9954342,0.001835522,0.0002835295,0.0005705975,0.001516003,0.0003601969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005514202,0.001434169,0.02065224,0.006013531,0.0004954818,0.004069657,0.004718985,0.004390887,0.09732018,0.005659085,0.04773352,0.8019981],"study_design_scores_gemma":[0.0009206508,0.008108719,0.04906009,0.004706202,0.002441502,0.01079059,0.002506642,0.1080671,0.1534391,0.009648072,0.6492435,0.001067988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.250132,0.01394848,0.5782022,0.004384977,0.004338729,0.005768929,0.004573277,0.07125407,0.0673973],"genre_scores_gemma":[0.624976,0.006124888,0.2929445,0.004935581,0.0008560875,0.004349185,0.003777319,0.003043082,0.05899338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01599736,"threshold_uncertainty_score":0.05351645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719662157557411,"score_gpt":0.2915048267032892,"score_spread":0.2743082051277151,"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."}}