{"id":"W4400654133","doi":"10.5267/j.ijdns.2024.5.001","title":"The role of digital distrust, negative emotion and government policy on cyber violence during the digital era in Indonesia","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distrust; Likert scale; Government (linguistics); Psychology; Data collection; Nonprobability sampling; Social psychology; Computer security; Population; Computer science; Sociology; Social science; Developmental psychology","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":[0.001187866,0.0001653745,0.0002920651,0.0005752422,0.00179203,0.003146289,0.0003148276,0.0006169948,0.002466073],"category_scores_gemma":[0.00431446,0.0001792581,0.0002731367,0.0005751235,0.002036564,0.001407967,0.001885126,0.00167105,0.0001958317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728793,"about_ca_system_score_gemma":0.001649742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006833088,"about_ca_topic_score_gemma":0.008991906,"domain_scores_codex":[0.9986581,0.000610346,0.00009606563,0.00009933671,0.0002456577,0.0002906284],"domain_scores_gemma":[0.9961069,0.001341043,0.00158822,0.0001377824,0.0002452722,0.0005806951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001573553,0.000527213,0.8721403,0.0002604373,0.00007323705,0.002014964,0.0839011,0.0003557617,0.0008157979,0.006236799,0.001458852,0.03205816],"study_design_scores_gemma":[0.000006363711,0.00008116874,0.8154374,0.0003698126,0.00004330589,0.0008867121,0.174671,0.0007642064,0.0003782328,0.001665728,0.005665778,0.00003022962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919872,0.0005367271,0.0001123023,0.001032623,0.00001846529,0.000007307338,0.00001760982,0.000001879214,0.00628582],"genre_scores_gemma":[0.999303,0.0002517744,0.00002823129,0.00007779401,0.00000459309,0.000003155697,0.000007006592,0.000001098683,0.0003233214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006833088,"threshold_uncertainty_score":0.01358658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009654381709462133,"score_gpt":0.2950590761783312,"score_spread":0.285404694468869,"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."}}