{"id":"W2954688956","doi":"10.2196/12190","title":"Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Actigraphy; Wearable computer; Computer science; Observational methods in psychology; Wearable technology; Medicine; Embedded 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07223501,0.0007574676,0.00104949,0.001807327,0.002329093,0.002171116,0.001259609,0.001087274,0.001337572],"category_scores_gemma":[0.08300626,0.0009762513,0.001470578,0.001671396,0.002119719,0.00216155,0.001893066,0.001519631,0.0006339683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502758,"about_ca_system_score_gemma":0.005051385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793306,"about_ca_topic_score_gemma":0.008339756,"domain_scores_codex":[0.9675725,0.02188876,0.003450389,0.001271529,0.004660597,0.001156195],"domain_scores_gemma":[0.9183922,0.03580804,0.01371969,0.006174975,0.02242891,0.003476135],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004847793,0.04400333,0.6720733,0.003049403,0.0007313125,0.00143331,0.1468675,0.0006602918,0.002798189,0.0006768461,0.003843612,0.1190151],"study_design_scores_gemma":[0.002529945,0.07774546,0.7677122,0.001661616,0.0007318354,0.001033213,0.1269087,0.002263856,0.002499649,0.0005297047,0.01609146,0.0002921536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985086,0.0002260898,0.002517146,0.0001849715,0.00005469041,0.009979485,0.0003223383,0.00002802542,0.0016013],"genre_scores_gemma":[0.9632573,0.000841436,0.01403369,0.0003552316,0.00008718842,0.019726,0.0006593386,0.00003752034,0.001002248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.927765,"threshold_uncertainty_score":0.3820198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.503630914077276,"score_gpt":0.5386886042698333,"score_spread":0.03505769019255733,"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."}}