{"id":"W4291814553","doi":"10.36227/techrxiv.20473284.v1","title":"Considerations for Using Artificial Intelligence to Manage Authorized Push Payment (APP) Scams","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Payment; Liability; Context (archaeology); Business; Investment (military); Computer security; Service provider; Service (business); Computer science; Marketing; Finance; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02528793,0.000541702,0.0003589821,0.002326044,0.00491962,0.01916091,0.002599417,0.00697635,0.01123642],"category_scores_gemma":[0.04987549,0.000509357,0.000788335,0.001406094,0.01043205,0.0124165,0.00618079,0.005763352,0.002317072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005225465,"about_ca_system_score_gemma":0.008150499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343598,"about_ca_topic_score_gemma":0.002946503,"domain_scores_codex":[0.9783443,0.01440278,0.0009582732,0.0009176071,0.004145536,0.00123145],"domain_scores_gemma":[0.9434617,0.03833502,0.003943615,0.003964365,0.007543613,0.002751549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001053077,0.0002767759,0.006695171,0.0002653759,0.0000701184,0.000525285,0.003490841,0.0243106,0.001883531,0.8646512,0.0193843,0.07834163],"study_design_scores_gemma":[0.00005536605,0.0002028695,0.002471256,0.000818093,0.00004506881,0.0003699597,0.008332389,0.04372083,0.002426273,0.7773096,0.1641548,0.00009348472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.07749429,0.001879779,0.2094114,0.2846983,0.0007636867,0.0005305702,0.0001164945,0.0008505716,0.4242549],"genre_scores_gemma":[0.9150513,0.001042681,0.06718373,0.006834059,0.0003162478,0.000330212,0.00008342051,0.00009759712,0.009060713],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02528793,"threshold_uncertainty_score":0.1337369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3291849726081212,"score_gpt":0.4816976676543399,"score_spread":0.1525126950462187,"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."}}