{"id":"W2353217849","doi":"","title":"A Kind of Solution that Raises the Credit Card Safety","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credit card; Password; Computer science; Computer security; Chargeback; Credit card interest; Issuer; ATM card; Card security code; Internet privacy; Business; Payment; Finance; World Wide Web","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":[0.001316612,0.0008207639,0.0005559119,0.001441108,0.00249179,0.00382245,0.001599593,0.005428843,0.02955946],"category_scores_gemma":[0.005906266,0.0003767919,0.0007720587,0.00120777,0.00183171,0.006265135,0.002979307,0.004043908,0.01167444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009319857,"about_ca_system_score_gemma":0.001437063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043394,"about_ca_topic_score_gemma":0.0009626659,"domain_scores_codex":[0.9971744,0.0004989482,0.00008962974,0.0004855162,0.001396663,0.0003548928],"domain_scores_gemma":[0.9962213,0.0005141902,0.0003065719,0.001084954,0.001585986,0.0002869334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003159488,0.000667654,0.002659368,0.0007161351,0.0001329563,0.0007758968,0.001433248,0.001119435,0.05191427,0.2599619,0.1724865,0.5078167],"study_design_scores_gemma":[0.0002042356,0.0004821281,0.002540641,0.0002992113,0.0001796289,0.004036976,0.001578586,0.008898593,0.05203528,0.09445783,0.8350966,0.0001902572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05047846,0.004399325,0.4913762,0.05388971,0.01372191,0.0006618034,0.0003891306,0.004980247,0.3801031],"genre_scores_gemma":[0.394938,0.00376526,0.2645131,0.02866681,0.004550025,0.0004648081,0.0003897406,0.000657188,0.3020551],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02955946,"threshold_uncertainty_score":0.09888625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468048337795644,"score_gpt":0.235061287013717,"score_spread":0.2203808036357605,"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."}}