{"id":"W4412036774","doi":"10.1111/cch.70133","title":"Beyond the (Log)book: Comparing Accelerometer Nonwear Detection Techniques in Toddlers","year":2025,"lang":"en","type":"article","venue":"Child Care Health and Development","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Logbook; Accelerometer; Medicine; Physical therapy; Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004319646,0.0009378815,0.0008802715,0.0009100179,0.0003024078,0.001185828,0.0008028808,0.0006167999,0.0006420864],"category_scores_gemma":[0.01963324,0.0004300581,0.001064174,0.0005266588,0.000521934,0.0005559914,0.0008372567,0.0004060736,0.0004452377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519857,"about_ca_system_score_gemma":0.0003268777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006068358,"about_ca_topic_score_gemma":0.009398697,"domain_scores_codex":[0.9956435,0.001777614,0.0006741618,0.0006850749,0.001066493,0.0001531419],"domain_scores_gemma":[0.9860128,0.006120552,0.002738134,0.001514868,0.003327686,0.0002859349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01005301,0.0004469116,0.8126852,0.001709859,0.001743974,0.0002095648,0.002721553,0.0009367543,0.006909193,0.0001412605,0.000754436,0.1616883],"study_design_scores_gemma":[0.0001890199,0.006801963,0.9795299,0.000424465,0.0007082141,0.0006340531,0.001386145,0.00225364,0.006152573,0.0001488891,0.001708139,0.00006304566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921736,0.001497647,0.004497104,0.00003791863,0.00003971482,0.0001984972,0.0005166688,0.00007968529,0.0009591639],"genre_scores_gemma":[0.987657,0.0008473858,0.009768841,0.00009973757,0.00002542664,0.0002543104,0.000784199,0.00003377673,0.0005293089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006068358,"threshold_uncertainty_score":0.02284479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785231490915913,"score_gpt":0.2899065735008218,"score_spread":0.2720542585916627,"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."}}