{"id":"W3216309133","doi":"10.18280/ts.380522","title":"A Home Efficacy Multi-Modal Intelligent Evaluation System for Wearable Treatment Equipment of Insomnia Through Integration Between Traditional Chinese Medicine and Modern Medicine","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Insomnia; Test (biology); Traditional Chinese medicine; Medicine; Set (abstract data type); Computer science; Simulation; Artificial intelligence; Alternative medicine; Embedded system; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008663957,0.0004696333,0.001183534,0.0002459631,0.0001897052,0.00001015,0.00008676665,0.00009949599,0.000338131],"category_scores_gemma":[0.0003536359,0.0003064646,0.000177086,0.0003473283,0.0003630563,0.0001561719,0.00002904435,0.0001560189,0.000002826911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583226,"about_ca_system_score_gemma":0.000269975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054776,"about_ca_topic_score_gemma":0.00003779834,"domain_scores_codex":[0.9964772,0.000162018,0.001141324,0.0006069613,0.001291949,0.0003205462],"domain_scores_gemma":[0.9975588,0.0009008354,0.0003045112,0.0002511884,0.0007754785,0.0002092393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01010757,0.01642687,0.08552631,0.01084876,0.01465677,0.0003303108,0.1404022,0.004516793,0.3431805,0.02862879,0.00625088,0.3391243],"study_design_scores_gemma":[0.09700493,0.01962278,0.7511076,0.009597579,0.007194804,0.0004491062,0.009331014,0.07858822,0.01301371,0.01193778,0.001111339,0.001041146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126447,0.005402446,0.06968515,0.007697413,0.0004502017,0.003074866,0.000260609,0.00009822188,0.0006864084],"genre_scores_gemma":[0.9918619,0.0003066475,0.00340307,0.000180518,0.001791137,0.000505976,0.001836006,0.00004153009,0.00007326358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6655813,"threshold_uncertainty_score":0.9999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727382270091309,"score_gpt":0.3686613031560226,"score_spread":0.1959230761468917,"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."}}