{"id":"W4210457668","doi":"10.4309/jgi.2022.9","title":"Impact of COVID-19 Pandemic on Screen Time: Findings From a Cross-Sectional Observational Study Among College Students From India","year":2022,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Screen time; Coronavirus disease 2019 (COVID-19); Cross-sectional study; Psychology; Big Five personality traits; Demographics; Pandemic; Social media; Medicine; Recreation; Demography; Personality; Social psychology; Disease; Physical therapy; Internal medicine; Physical activity; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004546175,0.0001772217,0.0002810195,0.0007480871,0.0005887622,0.0008510607,0.000351695,0.0003819185,0.0015173],"category_scores_gemma":[0.001980029,0.0002516302,0.0003752996,0.0009942288,0.0003200056,0.0004807012,0.0006041782,0.0006846964,0.0002488813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564547,"about_ca_system_score_gemma":0.0004751472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009605841,"about_ca_topic_score_gemma":0.01762342,"domain_scores_codex":[0.9996044,0.0000962856,0.00006648748,0.00005976006,0.00008235854,0.00009076267],"domain_scores_gemma":[0.9980847,0.00035574,0.0008064898,0.0001372237,0.0001977974,0.0004181832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002211506,0.00006429853,0.9976053,0.00003447638,0.00001808762,0.00007999098,0.0007147658,0.00000963638,0.0001821607,0.000008599413,0.00007515289,0.001185313],"study_design_scores_gemma":[0.000001127687,0.0001057902,0.9974988,0.0000131672,0.00001169324,0.000190955,0.001930203,0.00002945084,0.00003084159,0.00000481186,0.0001797538,0.000003445145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989557,0.0001088389,0.00005860377,0.0000490184,0.000004909225,0.00002661432,0.0002551718,0.000002736158,0.0005384083],"genre_scores_gemma":[0.9993079,0.0001297527,0.0000957395,0.00008355048,0.000009492339,0.00002330596,0.0002105651,0.000001690311,0.0001381019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009605841,"threshold_uncertainty_score":0.01909989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220323655224827,"score_gpt":0.4862016566188134,"score_spread":0.2658780013939864,"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."}}