{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001602388,0.00006068976,0.0001230655,0.00005984031,0.00005215552,0.00002517194,0.0002281349,0.0001139811,0.00009824571],"category_scores_gemma":[0.0003625819,0.00005423116,0.0000295702,0.0002007625,0.0002518337,0.0001388844,0.00006673497,0.00006392656,0.0000778583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000318538,"about_ca_system_score_gemma":0.0001947693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737976,"about_ca_topic_score_gemma":0.0003278708,"domain_scores_codex":[0.9992453,0.00002043015,0.0001146521,0.0001179936,0.0003380419,0.0001635211],"domain_scores_gemma":[0.9996141,0.00001965122,0.00005479256,0.00011069,0.00009782511,0.0001029036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001180868,0.0001313268,0.7180976,0.00001211857,0.0001206987,0.00001871118,0.1013809,0.000007542406,0.0008257987,0.07729626,0.08196129,0.02002961],"study_design_scores_gemma":[0.002772677,0.0004108025,0.6697138,0.00008815061,0.00008214984,0.000003150239,0.03436639,0.0000662147,0.002799123,0.178562,0.1102185,0.0009170622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7907512,0.00004899535,0.000008982955,0.0002596704,0.00008765583,0.00009050419,0.00004817139,0.0001089581,0.2085959],"genre_scores_gemma":[0.9937886,0.000002475665,0.0001853486,0.00006165117,0.0000824067,7.576963e-7,0.00002796134,0.000005303314,0.005845523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2030374,"threshold_uncertainty_score":0.262731,"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."}}