{"id":"W4321165801","doi":"10.2196/43092","title":"Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Bern","keywords":"Computer science; Assisted living; Microservices; Software; Component (thermodynamics); Component-based software engineering; Service (business); End user; Software development; Embedded system; World Wide Web; Cloud computing; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02341609,0.0001818044,0.000492216,0.001365782,0.001260861,0.0005969355,0.001636237,0.0001979091,0.000006219667],"category_scores_gemma":[0.00180602,0.0001570907,0.00005483838,0.002920923,0.000385684,0.001879221,0.003359324,0.000747875,0.00007500604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004214926,"about_ca_system_score_gemma":0.0007523992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006639601,"about_ca_topic_score_gemma":0.00002973528,"domain_scores_codex":[0.9940521,0.001215867,0.001011294,0.0007902799,0.001955096,0.0009754365],"domain_scores_gemma":[0.9932132,0.003516979,0.0002817576,0.0007940832,0.001803857,0.0003900575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002435869,0.0006931513,0.0004054069,0.003278519,0.0002023679,0.0004375099,0.05644532,0.000001528452,0.07259922,0.004069473,0.01530068,0.8463233],"study_design_scores_gemma":[0.008176605,0.005595576,0.005698604,0.009219312,0.00001963387,0.006616991,0.1475738,0.06259486,0.2576379,0.003517778,0.4907115,0.00263751],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7475681,0.00003162489,0.2448302,0.001207575,0.0004212258,0.004054252,0.00003822222,0.0007717201,0.001077085],"genre_scores_gemma":[0.9425406,0.000002975187,0.05542492,0.000005604111,0.0001124474,0.001367538,0.00004846874,0.00003404361,0.0004634232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8436857,"threshold_uncertainty_score":0.9697651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3353488634281944,"score_gpt":0.4719773481204136,"score_spread":0.1366284846922192,"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."}}