{"id":"W2660121726","doi":"10.5539/ass.v13n7p10","title":"Ominous Phenomena such as Fraud and Forgery","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminology; Marital status; Context (archaeology); Limiting; Psychology; Sociology; History; Demography; Engineering; 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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001537979,0.0002495169,0.0003742221,0.003305258,0.002296063,0.003358314,0.0005061166,0.0006313749,0.004297592],"category_scores_gemma":[0.008440884,0.0001546235,0.00030661,0.002719401,0.002342566,0.002543208,0.002131496,0.0008074997,0.0003270061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194053,"about_ca_system_score_gemma":0.0008781119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369948,"about_ca_topic_score_gemma":0.003956724,"domain_scores_codex":[0.9972528,0.000945889,0.0003113104,0.0003012617,0.0008514937,0.0003371607],"domain_scores_gemma":[0.9892637,0.002508517,0.006139798,0.0008965477,0.0007439202,0.0004476115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002760173,0.0002681193,0.7915561,0.0006888818,0.0001810734,0.004051278,0.03511858,0.0004794178,0.001225435,0.05576121,0.006032534,0.1043614],"study_design_scores_gemma":[0.000005649974,0.0001767291,0.8922575,0.0004139069,0.00005694903,0.009462995,0.05043736,0.000671086,0.0008410926,0.01201882,0.03360984,0.00004805826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651343,0.003189088,0.001937555,0.002009346,0.0001365037,0.00007434345,0.0005465287,0.00002007728,0.02695229],"genre_scores_gemma":[0.9957903,0.0009672196,0.0006394709,0.0001628718,0.00008775824,0.00002443151,0.0001541356,0.000004769228,0.002169098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9993686,"threshold_uncertainty_score":0.01437688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996637323390654,"score_gpt":0.2908605602981147,"score_spread":0.2708941870642081,"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."}}