{"id":"W3205511414","doi":"10.6000/1929-4409.2021.10.159","title":"Get Rich Syndrome: Examining the Fight against Cybercrime in Enugu State, Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hacker; Cybercrime; Nonprobability sampling; State (computer science); Meaning (existential); Business; Public relations; Computer security; Psychology; Political science; The Internet; Medicine; Computer science; Environmental health; Population","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":[0.0009800247,0.0002708967,0.0002918405,0.001486436,0.006060871,0.002283999,0.0004837472,0.0009518955,0.002489487],"category_scores_gemma":[0.001789311,0.0003486201,0.0001415218,0.00101366,0.002607761,0.002050207,0.002308172,0.001559926,0.0001414681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003096059,"about_ca_system_score_gemma":0.00629987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04499781,"about_ca_topic_score_gemma":0.1659047,"domain_scores_codex":[0.999534,0.0001897066,0.00003810148,0.00003321394,0.00006784347,0.0001371337],"domain_scores_gemma":[0.9992354,0.0002186705,0.0002270275,0.00001606006,0.000097775,0.0002050286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003603951,0.0001608649,0.1228439,0.0005800745,0.00001232554,0.01066378,0.8327657,0.00006085013,0.001050074,0.004710819,0.002679659,0.02443589],"study_design_scores_gemma":[0.000001335723,0.0000349681,0.04666948,0.0003538545,0.000004713203,0.001014902,0.9463185,0.00003220242,0.00006030237,0.0002336696,0.005271201,0.000004929954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901751,0.001235217,0.00009211753,0.001888571,0.00004449537,0.00006496203,0.0000400018,0.000002498928,0.006457016],"genre_scores_gemma":[0.9948195,0.002128533,0.0001850147,0.0005351976,0.000008970809,0.00003975774,0.00002791864,0.000003322971,0.002251696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04499781,"threshold_uncertainty_score":0.08947182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434062699216933,"score_gpt":0.2976903937800703,"score_spread":0.2533497667879009,"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."}}