{"id":"W4317106135","doi":"10.18280/jesa.550609","title":"Multiple Fault Detection and Smart Monitoring System Based on Machine Learning Classifiers for Infant Incubators Using Raspberry Pi 4","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incubator; Support vector machine; Raspberry pi; Computer science; Artificial intelligence; Artificial neural network; Machine learning; Fault (geology); Decision tree; Embedded system; Internet of Things","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":[0.0003280393,0.0005785184,0.0008517875,0.0007214682,0.0003970176,0.0005042857,0.0006174357,0.0005964257,0.001769637],"category_scores_gemma":[0.0006393559,0.0002594109,0.0003353525,0.0003158934,0.0001050974,0.0005768283,0.0002915293,0.0003448387,0.0006118069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116956,"about_ca_system_score_gemma":0.0003807342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728573,"about_ca_topic_score_gemma":0.001517618,"domain_scores_codex":[0.9995288,0.00006279251,0.00003934438,0.0001430429,0.000175561,0.00005053071],"domain_scores_gemma":[0.9997132,0.00006244701,0.00004737927,0.00002781663,0.0001286122,0.00002045175],"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":[0.001403509,0.0007699644,0.01976347,0.000479906,0.0002129983,0.0009754197,0.0003103717,0.0382458,0.1690762,0.0009175568,0.00664404,0.7612007],"study_design_scores_gemma":[0.00009864601,0.001206453,0.01514655,0.00004598122,0.0001472462,0.0006214167,0.00007541024,0.9148167,0.06251027,0.0005899527,0.00467721,0.0000641575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.351498,0.001396096,0.6271565,0.0003865059,0.0004133777,0.0002883921,0.0003036723,0.01204584,0.006511715],"genre_scores_gemma":[0.9346192,0.0003166065,0.06059174,0.000102081,0.00005607733,0.0001483498,0.0002073314,0.00003550825,0.003923083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001769637,"threshold_uncertainty_score":0.005919993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017663649814506,"score_gpt":0.2275991869610021,"score_spread":0.2099355371464962,"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."}}