{"id":"W2106997428","doi":"10.7717/peerj.1048","title":"Family structure as a predictor of screen time among youth","year":2015,"lang":"en","type":"article","venue":"PeerJ","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Screen time; Imputation (statistics); Quartile; Psychology; Odds; Single parent; Adolescent health; Developmental psychology; Medicine; Missing data; Logistic regression; Physical activity; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005308403,0.0002364381,0.000230874,0.0009191083,0.0009106728,0.0007299804,0.0004447751,0.0002957329,0.002090399],"category_scores_gemma":[0.003311973,0.0001800768,0.000486795,0.0009648697,0.0003889591,0.0003103116,0.0005141324,0.0005586873,0.00009677336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119414,"about_ca_system_score_gemma":0.001346485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2366825,"about_ca_topic_score_gemma":0.2592312,"domain_scores_codex":[0.9995211,0.00009343663,0.00003414875,0.00007677842,0.0001365546,0.0001379511],"domain_scores_gemma":[0.9982516,0.0003398435,0.0006382363,0.00008892155,0.0001959954,0.0004854515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002030085,0.00001304681,0.9988895,0.000002581067,0.00001459664,0.00003337039,0.0001697564,0.00001814251,0.00002632725,0.00001545043,0.00004448183,0.0007524303],"study_design_scores_gemma":[0.000001004175,0.00001692927,0.9992879,0.000008280969,0.00001085494,0.00005670485,0.0004570062,0.00007212922,0.00001551027,0.00001129782,0.00006113436,0.000001263561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990632,0.0002351234,0.00003561321,0.00005495656,0.000003845401,0.000003662061,0.0002174372,0.000002679918,0.0003834489],"genre_scores_gemma":[0.9996971,0.00006811575,0.0000271799,0.00000606406,0.000001804255,0.000001937412,0.0001142953,0.000001118492,0.00008241583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2366825,"threshold_uncertainty_score":0.4706097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593646979075947,"score_gpt":0.2632021030015787,"score_spread":0.2372656332108192,"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."}}