{"id":"W3148801295","doi":"10.5539/ass.v17n4p24","title":"Functions, Influences & Effects of WhatsApp Use During the Movement Control Order (MCO) in Malaysia","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Educational Methods and Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Government (linguistics); Order (exchange); Social media; Control (management); Action (physics); Public relations; Internet privacy; Information Dissemination; Pandemic; Psychology; Information exchange; Position (finance); Coronavirus disease 2019 (COVID-19); Business; Political science; Computer science; World Wide Web; Medicine; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491424,0.0000782343,0.0001382428,0.00007395974,0.001059688,0.0002241993,0.0003303557,0.00005079188,0.00009718166],"category_scores_gemma":[0.003398872,0.00006239128,0.00004852009,0.002110306,0.001119711,0.0007215162,0.00005197062,0.0001248367,0.00001143997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884626,"about_ca_system_score_gemma":0.001125844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625081,"about_ca_topic_score_gemma":0.001472075,"domain_scores_codex":[0.9980592,0.0004268932,0.0001995989,0.000231749,0.0006953582,0.0003872121],"domain_scores_gemma":[0.9988961,0.0004384117,0.0001181102,0.0001429952,0.0003036065,0.0001007587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000364832,0.000534381,0.4692547,0.00008818282,0.000050396,0.0000119528,0.1249847,0.00005663356,0.09029029,0.2464126,0.0005255899,0.06775412],"study_design_scores_gemma":[0.0002255111,0.00001084039,0.9727762,0.00003387162,0.000008790586,3.635851e-7,0.0170154,0.000001956146,0.0009803323,0.005196546,0.00365708,0.00009310421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965742,0.0001303977,0.0002063147,0.005711384,0.0006107406,0.0002674022,0.000003658117,0.00001456271,0.02731358],"genre_scores_gemma":[0.9972801,0.00003554301,0.0008154321,0.0006237799,0.0002002577,0.00002707163,5.197446e-7,0.000003802353,0.001013509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5035215,"threshold_uncertainty_score":0.8150369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163130082059369,"score_gpt":0.3465211950095416,"score_spread":0.3248898941889479,"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."}}