{"id":"W3035862003","doi":"10.71781/1186","title":"Physical activity and screen time trajectories in adolescents","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Screen time; Psychology; Developmental psychology; Medicine; Physical medicine and rehabilitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004721128,0.0001837068,0.0001696721,0.001025708,0.0003983331,0.0007701188,0.0003548218,0.0002989977,0.002515418],"category_scores_gemma":[0.002193043,0.0002026433,0.0003276518,0.001438923,0.0002079525,0.0003095731,0.000344029,0.0002955077,0.0002977912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290381,"about_ca_system_score_gemma":0.001564032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3622807,"about_ca_topic_score_gemma":0.3799823,"domain_scores_codex":[0.9997936,0.00004496736,0.00001286722,0.00004711384,0.00005093255,0.00005062823],"domain_scores_gemma":[0.9992988,0.0001086778,0.0002310689,0.00003185132,0.0001825364,0.0001470198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003000319,0.000008342087,0.997627,0.00001263268,0.0000179872,0.00002363712,0.0003743276,0.00007377178,0.00007464144,0.00004271762,0.00007089024,0.001644129],"study_design_scores_gemma":[9.010878e-7,0.00001319711,0.9993644,0.00001081625,0.000006429325,0.00001870681,0.0002503867,0.00006626215,0.00002148041,0.00001194685,0.0002342231,0.000001205147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976553,0.0003942846,0.0001177046,0.00006036219,0.000003514929,0.000009546051,0.001021027,0.000004771831,0.0007334237],"genre_scores_gemma":[0.9981169,0.0002542546,0.0001247068,0.000009235336,0.000001838831,0.00001536869,0.000944642,0.000002411855,0.0005307577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3622807,"threshold_uncertainty_score":0.7203439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422317054640812,"score_gpt":0.3595871506851974,"score_spread":0.3353639801387893,"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."}}