{"id":"W2890302742","doi":"10.2196/11040","title":"Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"San José State University","keywords":"Wavelet; Wrist; Computer science; Medicine; Artificial intelligence","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":[0.01672068,0.001164277,0.000691082,0.0008446074,0.0005830711,0.001363601,0.002052139,0.001493787,0.002933931],"category_scores_gemma":[0.01824629,0.000398353,0.0005771932,0.0004078955,0.001086034,0.000726265,0.0009114597,0.0006086561,0.001657303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006173069,"about_ca_system_score_gemma":0.001558523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008145944,"about_ca_topic_score_gemma":0.0006025461,"domain_scores_codex":[0.9930479,0.003180804,0.000637074,0.0009092886,0.001965024,0.0002599113],"domain_scores_gemma":[0.9882632,0.003724217,0.0006934975,0.001143823,0.005767457,0.0004077921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01866874,0.006421525,0.05897284,0.004560966,0.0006307975,0.0007643154,0.001604368,0.01800258,0.5646008,0.007218592,0.003508321,0.3150462],"study_design_scores_gemma":[0.005608369,0.168532,0.1025715,0.0009833273,0.002068748,0.003083032,0.00113091,0.09781694,0.5717891,0.002545885,0.04349301,0.0003772363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3215758,0.001468369,0.6542423,0.0007627294,0.0006479684,0.01432924,0.001127873,0.001374011,0.004471791],"genre_scores_gemma":[0.5344737,0.0007740128,0.4461526,0.0007322694,0.0002629999,0.01346773,0.0008901949,0.0002097008,0.003036703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01672068,"threshold_uncertainty_score":0.0884285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002832364074221,"score_gpt":0.3424795772484238,"score_spread":0.2421963408410016,"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."}}