{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005743389,0.00009412369,0.0001909112,0.0007795574,0.0001440557,0.00003020307,0.0003091448,0.00008265842,0.00002803916],"category_scores_gemma":[0.00007970912,0.00009237094,0.00001216999,0.001175025,0.00006569991,0.0007832017,0.00008218519,0.0004586635,0.00002112675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956319,"about_ca_system_score_gemma":0.0006174445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004334538,"about_ca_topic_score_gemma":0.0003474703,"domain_scores_codex":[0.9970636,0.0008503859,0.0004318132,0.0004268441,0.0008593788,0.000368025],"domain_scores_gemma":[0.9984474,0.0001408306,0.0002100406,0.0004536244,0.0006659965,0.0000821668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001679452,0.001771432,0.9066424,0.0002383898,0.00002151222,0.000002327435,0.005820721,0.00003888837,0.0006436126,0.02612374,0.0003187635,0.05821023],"study_design_scores_gemma":[0.001479996,0.001000932,0.9763863,0.00004465112,0.000004271902,0.000003245994,0.0009684414,0.01495624,0.000164606,0.004771097,0.0001434388,0.00007678166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968977,0.0001237331,0.00008679672,0.0007014859,0.0002165834,0.001532839,0.000001770487,0.00004149605,0.0003975722],"genre_scores_gemma":[0.9985592,0.00002481973,0.001003069,0.0002116669,0.00001561491,0.0001476784,0.000004629835,0.000006642709,0.00002671197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06974386,"threshold_uncertainty_score":0.3766778,"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."}}