{"id":"W2943923388","doi":"10.33423/jabe.v20i7.144","title":"A Small Town Texas Fraud","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wife; Business; Advertising; Criminology; Psychology; Law; Political science","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":[0.0008212008,0.0005247486,0.0002617777,0.001132591,0.01448498,0.004166321,0.00122314,0.00300328,0.01948785],"category_scores_gemma":[0.003448461,0.0003725391,0.0003699996,0.0009262784,0.002286265,0.002869473,0.002758652,0.004662601,0.002356992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088673,"about_ca_system_score_gemma":0.002598691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890754,"about_ca_topic_score_gemma":0.03443405,"domain_scores_codex":[0.9989852,0.0002284866,0.00003692711,0.0002014855,0.0002637352,0.0002841217],"domain_scores_gemma":[0.998552,0.0002399576,0.0001772057,0.0001136959,0.0002995429,0.0006175365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006638993,0.001584346,0.05627211,0.0004049947,0.000124998,0.07214758,0.09938926,0.001263288,0.004451559,0.1199228,0.4461731,0.197602],"study_design_scores_gemma":[0.00008483948,0.001301578,0.04063535,0.0006735465,0.00008031407,0.02874295,0.09783207,0.003816692,0.002782714,0.01169833,0.8121896,0.0001619444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955504,0.004051456,0.005939725,0.1022616,0.00258266,0.0005085778,0.0007181654,0.0004800084,0.1879074],"genre_scores_gemma":[0.7894759,0.002764208,0.004323694,0.01860118,0.0005706506,0.0001247559,0.0003989484,0.00009154516,0.1836491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948785,"threshold_uncertainty_score":0.06519336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238695738443542,"score_gpt":0.2063619735101917,"score_spread":0.1839750161257563,"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."}}