{"id":"W6931870305","doi":"10.5446/36300","title":"Hacking Next Gen ATMs: From Capture to Cashout","year":2016,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ATM card; Debit card; Credit card; Hacker; Card reader; Cash; Smart card; Implementation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001087112,0.0004187144,0.0004212174,0.0001054316,0.00009633026,0.00007640806,0.0006622197,0.0005255796,0.1798963],"category_scores_gemma":[0.0000172284,0.0003261929,0.0001184821,0.0001347138,0.0001032065,0.0001031474,0.0005501469,0.000254342,0.04139427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706294,"about_ca_system_score_gemma":0.000009220359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056106,"about_ca_topic_score_gemma":0.006992761,"domain_scores_codex":[0.9980847,0.00006571348,0.0002227411,0.0007474567,0.0002962024,0.0005831532],"domain_scores_gemma":[0.9989137,0.00005566167,0.0001348517,0.0006689568,0.000003258641,0.0002235907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001299428,0.00002371026,0.003666221,0.000007148346,0.00007728927,0.00004739269,0.0002082215,0.00004981308,0.00008349592,0.00004551639,0.9776349,0.01814327],"study_design_scores_gemma":[0.0003391785,0.00002970473,0.005024974,0.000117196,0.00006801124,0.000001653833,0.00004265869,0.0000373995,0.000005232542,0.0001674023,0.9936802,0.0004864005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003816775,0.0005668649,0.002490777,0.0006650214,0.001988964,0.0008329892,0.00005662844,0.0003128066,0.9892692],"genre_scores_gemma":[0.005965307,0.0001198651,0.001479694,0.0009498617,0.00139226,0.000076102,0.00007856527,0.0003514521,0.9895869],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.138502,"threshold_uncertainty_score":0.999919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008145304049542312,"score_gpt":0.2217458574487152,"score_spread":0.2136005533991729,"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."}}