{"id":"W4402304485","doi":"10.1101/2024.09.04.24312946","title":"Beyond the (log)book: Comparing accelerometer non-wear detection techniques in toddlers","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Accelerometer; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001820664,0.000293762,0.0004270934,0.0003967881,0.000497496,0.00003053704,0.0004657999,0.0005849754,0.0002361346],"category_scores_gemma":[0.00007602756,0.0002107523,0.0001104649,0.0003486095,0.00007150991,0.00006962921,0.0009609543,0.004356103,0.0006763919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921907,"about_ca_system_score_gemma":0.0005029081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008568589,"about_ca_topic_score_gemma":0.002706963,"domain_scores_codex":[0.9973165,0.0003600453,0.0008514601,0.0005026403,0.0003473772,0.0006219508],"domain_scores_gemma":[0.9984969,0.0004100889,0.0002768889,0.000589543,0.0001033285,0.0001232093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003414333,0.00007879951,0.9412346,0.00771695,0.00006591134,0.00001827457,0.007798822,0.0001484479,0.0007957908,0.000362262,0.008466915,0.0329718],"study_design_scores_gemma":[0.0004776698,0.0001146439,0.908792,0.003161913,0.00005395361,0.000003518932,0.0004686229,0.009791468,0.002459519,0.01062541,0.06344088,0.000610429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681528,0.0009105809,0.0001725938,0.001960549,0.00386819,0.002216188,0.00002618154,0.0002463475,0.02244657],"genre_scores_gemma":[0.9924183,0.0004590459,0.000291005,0.002351066,0.001058311,0.001582175,0.00003598905,0.00005370587,0.001750342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05497397,"threshold_uncertainty_score":0.9979409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09061444731200388,"score_gpt":0.4293271619057168,"score_spread":0.338712714593713,"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."}}