{"id":"W7024672697","doi":"","title":"Strategies for addressing the lack of artificial intelligence regulations to protect consumers in digital communication","year":2025,"lang":"en","type":"article","venue":"The International Islamic University Malaysia Repository (The International Islamic University Malaysia)","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Statutory law; Data Protection Act 1998; Consumer protection; Information and Communications Technology; Digital transformation; Digital rights","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004690616,0.0002012546,0.0001915428,0.0005408791,0.0005861683,0.0004133664,0.003644473,0.00009444426,0.00002842326],"category_scores_gemma":[0.0001136933,0.0001716566,0.0001896573,0.0008340518,0.0004683508,0.001149363,0.0008006895,0.0003244537,0.00001090899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006561698,"about_ca_system_score_gemma":0.0004106548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779588,"about_ca_topic_score_gemma":0.0003989733,"domain_scores_codex":[0.9983323,0.0001602473,0.0004101261,0.0004112431,0.0004711815,0.0002148891],"domain_scores_gemma":[0.9975709,0.0007159656,0.00036808,0.0006801439,0.0006417604,0.0000231534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002197647,0.00009298661,0.0008275664,0.00001033554,0.0002239668,0.000008726698,0.002177694,0.1355609,0.002746046,0.85203,0.0004793844,0.005622581],"study_design_scores_gemma":[0.0005820338,0.00005032914,0.005004342,0.0002314236,0.00008260737,0.00003723424,0.01507464,0.9248877,0.001937937,0.0463747,0.00540485,0.0003321629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2762376,0.00001367494,0.6678555,0.0315384,0.0008688027,0.001070539,0.00006724565,0.0000992895,0.02224894],"genre_scores_gemma":[0.9926075,0.00001874497,0.002872628,0.0002097866,0.00003830418,0.000004628932,0.00003308558,0.000008127255,0.004207194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8056554,"threshold_uncertainty_score":0.6999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783120397409768,"score_gpt":0.2717889701952552,"score_spread":0.2339577662211575,"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."}}