{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004395567,0.001252401,0.0009090993,0.001171314,0.0005155516,0.001607704,0.002477992,0.001166043,0.009724654],"category_scores_gemma":[0.006117876,0.0007678172,0.0008533587,0.0006590936,0.0005165307,0.001712121,0.002339418,0.001727505,0.01234065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454704,"about_ca_system_score_gemma":0.002514572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051572,"about_ca_topic_score_gemma":0.0006326935,"domain_scores_codex":[0.9971897,0.0002992609,0.0002935365,0.0005084931,0.001473987,0.0002349703],"domain_scores_gemma":[0.9951329,0.0008893071,0.0004193702,0.0008408172,0.002123689,0.0005939886],"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":[0.0009890374,0.001068327,0.006933697,0.001927148,0.0002723565,0.001734389,0.001151245,0.005197756,0.3337897,0.006141568,0.06704723,0.5737476],"study_design_scores_gemma":[0.0007117055,0.001880317,0.01958705,0.0005358362,0.0003132391,0.003433712,0.0003250928,0.1340398,0.3971726,0.00465588,0.436853,0.0004917538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01523505,0.0004253678,0.8941896,0.0003630934,0.0002497448,0.00173503,0.001138685,0.08299018,0.00367338],"genre_scores_gemma":[0.08146598,0.0008576754,0.8751915,0.000608258,0.0001969558,0.002910548,0.01049072,0.01235171,0.01592671],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009724654,"threshold_uncertainty_score":0.03253216,"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."}}