{"id":"W2479188666","doi":"10.5430/air.v5n2p82","title":"A robust smart device app assisting medical diagnosis","year":2016,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Touchscreen; Android (operating system); Porting; Embedded system; Computer science; Modular design; Operating system; Linux kernel; Software; Mobile device; Human–computer interaction","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":[0.0006330837,0.000859226,0.000734131,0.0008993659,0.0001736572,0.0007889178,0.0009378979,0.000909364,0.01818243],"category_scores_gemma":[0.002638165,0.0003173623,0.000515288,0.0002892014,0.0001915542,0.0005247474,0.001002362,0.0004975093,0.008775562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497678,"about_ca_system_score_gemma":0.0003472168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004746092,"about_ca_topic_score_gemma":0.0005639542,"domain_scores_codex":[0.9994521,0.00007976354,0.00006026268,0.0001295354,0.0002505515,0.00002774824],"domain_scores_gemma":[0.9987186,0.0005982567,0.00009067818,0.0001710873,0.0003317762,0.00008947743],"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":[0.002172308,0.0004439874,0.004522749,0.001212906,0.0002819774,0.001691744,0.0002493887,0.001981753,0.06968372,0.002783102,0.06507187,0.8499045],"study_design_scores_gemma":[0.001208584,0.003573062,0.05558283,0.001009982,0.0009863485,0.01790341,0.0002658416,0.2485595,0.19211,0.01110786,0.4669486,0.0007438831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09670302,0.006976248,0.6577072,0.002123101,0.001889003,0.00241541,0.008793626,0.1840214,0.03937104],"genre_scores_gemma":[0.5181038,0.002651702,0.4075089,0.003580161,0.0009881263,0.001197104,0.007441181,0.001873388,0.05665571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01818243,"threshold_uncertainty_score":0.0608263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.413257481222794,"score_gpt":0.4772163692209929,"score_spread":0.06395888799819882,"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."}}