{"id":"W7006058654","doi":"","title":"Society perception towards security officers in Malaysia: the analysis","year":2019,"lang":"en","type":"other","venue":"Nottingham ePrints (University of Nottingham)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Officer; IBM; Social security; Security policy; Quality (philosophy); Job security; Security awareness; Service (business)","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":[0.0008036918,0.000259569,0.000165663,0.001187366,0.0009756609,0.00147176,0.0001907726,0.0002181272,0.006401604],"category_scores_gemma":[0.001752206,0.0001543646,0.0003072623,0.0009349145,0.0006865168,0.0007818886,0.001192506,0.0005062452,0.0006197634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142298,"about_ca_system_score_gemma":0.001517021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199626,"about_ca_topic_score_gemma":0.01703014,"domain_scores_codex":[0.9992136,0.0002435941,0.00006130256,0.00006754146,0.0002109716,0.0002029891],"domain_scores_gemma":[0.9984699,0.0002442392,0.0005895724,0.00004356678,0.0002608896,0.0003918707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006742925,0.00009847493,0.9354773,0.0001651564,0.00003475356,0.0004667219,0.04187699,0.000064067,0.0005995058,0.0005978488,0.001429883,0.0191219],"study_design_scores_gemma":[0.000001584411,0.00008964125,0.8543357,0.0001220459,0.0000153568,0.0002484733,0.1405795,0.0001638175,0.0002005965,0.00008341653,0.004147158,0.0000127756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970323,0.0001522479,0.00005070679,0.0002572953,0.000009278301,0.000009540571,0.00007182079,0.000001482825,0.002415437],"genre_scores_gemma":[0.9983081,0.0002526199,0.00004537172,0.00004597384,0.000007101196,0.000007226326,0.0000491882,0.000001307809,0.001283055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199626,"threshold_uncertainty_score":0.02385288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121536864750507,"score_gpt":0.1926857030924093,"score_spread":0.1714703344449042,"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."}}