{"id":"W7020884014","doi":"","title":"Measurement and processing of multimodal physiological signals in response to external stimuli by wearable devices and evaluation of parameters influencing data acquisition","year":2023,"lang":"it","type":"dissertation","venue":"Università Politecnica delle Marche (Università Politecnica delle Marche)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic surveillance; Domain (mathematical analysis)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009878947,0.001009917,0.001627008,0.002809115,0.0006882331,0.000193515,0.003373428,0.0009061885,0.0001198858],"category_scores_gemma":[0.00156393,0.001203371,0.0002374089,0.002789517,0.0006965665,0.001366334,0.004041406,0.001519189,0.00002443355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193091,"about_ca_system_score_gemma":0.002495732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260157,"about_ca_topic_score_gemma":0.0008002275,"domain_scores_codex":[0.9859269,0.005015482,0.0015496,0.002721784,0.003230409,0.001555868],"domain_scores_gemma":[0.9917301,0.001530026,0.001662753,0.002045096,0.002110521,0.000921483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02895403,0.002739727,0.01771977,0.01413096,0.001673872,0.000406924,0.1302875,0.134852,0.2792183,0.001075358,0.002445506,0.3864961],"study_design_scores_gemma":[0.005028343,0.001612958,0.1318335,0.006939013,0.0006163677,0.00002360948,0.02285231,0.8274175,0.0007739328,0.0005994894,0.0007508437,0.001552142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856678,0.00475889,0.004402758,0.001931084,0.0001375246,0.002261621,0.0004524044,0.0001320651,0.0002559095],"genre_scores_gemma":[0.9851131,0.0008249164,0.01273792,0.0001963886,0.00005110899,0.00001482324,0.0003725338,0.00009212399,0.0005970725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6925655,"threshold_uncertainty_score":0.9990416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060531659096051,"score_gpt":0.3543960674239008,"score_spread":0.2483429015142957,"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."}}