{"id":"W7078136179","doi":"10.48550/arxiv.2508.19817","title":"Disrupting the scammer lifecycle: A dynamically-consistent numerical analysis of a compartment model for scam-victim dynamics","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Consistency (knowledge bases); Numerical analysis; Sensitivity (control systems); Term (time); Numerical stability; Control theory (sociology); Quantitative analysis (chemistry); Control (management)","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":[0.0009847305,0.000753416,0.001092145,0.0008474851,0.0007921767,0.00179527,0.001733034,0.002956966,0.003305831],"category_scores_gemma":[0.005423707,0.0005599438,0.001580853,0.000505552,0.001731785,0.001349817,0.001718271,0.001845188,0.0002963942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750685,"about_ca_system_score_gemma":0.001806233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02991429,"about_ca_topic_score_gemma":0.01221551,"domain_scores_codex":[0.9997098,0.0001087046,0.00001383856,0.00006129335,0.00004108677,0.00006528839],"domain_scores_gemma":[0.997534,0.001600563,0.000353029,0.00008056725,0.00024944,0.0001822519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002719314,0.00002271556,0.001521461,0.00002919146,0.00002231631,0.0001170574,0.00007942806,0.9755102,0.0005536223,0.02085489,0.000354252,0.0009077427],"study_design_scores_gemma":[0.00000418665,0.00000589768,0.0001171406,0.000003960727,0.000005215341,0.000009142113,0.00002420559,0.9975922,0.00003951519,0.001991829,0.000201989,0.000004787903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3228633,0.001514525,0.641026,0.003731138,0.0003399478,0.0002156099,0.0009763806,0.0003024383,0.0290307],"genre_scores_gemma":[0.9613936,0.0006022799,0.02526347,0.0002881281,0.00006296734,0.0002572332,0.0002859478,0.0000695339,0.01177685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02991429,"threshold_uncertainty_score":0.05948031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05936109696127769,"score_gpt":0.2137759080451922,"score_spread":0.1544148110839145,"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."}}