{"id":"W4223568847","doi":"10.47326/ocsat.2022.03.59.1.0","title":"Increased Screen Time for Children and Youth During the COVID-19 Pandemic","year":2022,"lang":"en","type":"report","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Screen time; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Psychology; Medicine; Outbreak; Internal medicine; Infectious disease (medical specialty)","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":[0.0007101975,0.0001902734,0.0002035077,0.001137473,0.001291141,0.0009062483,0.0004092256,0.0005653409,0.006481492],"category_scores_gemma":[0.003122063,0.0001635458,0.0006049385,0.001295295,0.0002698648,0.0006359118,0.001149535,0.001248188,0.0005721764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725224,"about_ca_system_score_gemma":0.005159129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.308658,"about_ca_topic_score_gemma":0.5670942,"domain_scores_codex":[0.9990711,0.0001287831,0.00006624674,0.00005472181,0.0003317481,0.0003474085],"domain_scores_gemma":[0.9978889,0.0002158093,0.000600076,0.00005914809,0.000528291,0.0007078807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000612255,0.0001137738,0.9248435,0.0002673498,0.00004656209,0.0003926569,0.001744772,0.00008140577,0.0002137709,0.0003927684,0.03948769,0.03235452],"study_design_scores_gemma":[0.000006324715,0.00003425352,0.9873991,0.0001705272,0.00001534355,0.0001712168,0.002080428,0.00003140427,0.0000644514,0.00003486781,0.009985623,0.000006469906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8527973,0.00425237,0.0001825228,0.01767852,0.0005377865,0.0003964168,0.04799954,0.0001444706,0.07601108],"genre_scores_gemma":[0.9571877,0.007695326,0.0008271863,0.004872939,0.0003629903,0.0005663749,0.01634583,0.00004140831,0.01210034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.308658,"threshold_uncertainty_score":0.6137228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681739182006178,"score_gpt":0.3439236832887955,"score_spread":0.2971062914687337,"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."}}