{"id":"W2361050967","doi":"","title":"A Mobile Bank implementation based on K-Java","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Java; Mobile banking; Mobile payment; Mobile computing; Operating system; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331999,0.00005107334,0.00003927229,0.00006783088,0.0000649437,0.00004130982,0.0002632573,0.00001839511,0.0002659099],"category_scores_gemma":[0.000001669745,0.0000442151,0.00002595928,0.0002383027,0.00000735427,0.00009799951,0.00003018437,0.00003237209,0.000257877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002356453,"about_ca_system_score_gemma":0.00002893228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004203146,"about_ca_topic_score_gemma":0.00004139349,"domain_scores_codex":[0.9994024,0.0000084977,0.0001204425,0.0001824986,0.0001393462,0.0001468222],"domain_scores_gemma":[0.9994618,0.00005467947,0.00002689142,0.0003760505,0.00002791058,0.00005267664],"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":[0.000003402184,0.000148737,0.001394066,0.000003444509,0.000003618008,0.000003043712,0.0002048196,0.0002317055,0.002519838,0.3404282,0.01837208,0.636687],"study_design_scores_gemma":[0.001496017,0.0008920172,0.03678057,0.000008903712,0.000008278078,0.00000519433,0.0002673166,0.1764033,0.1733648,0.006831063,0.6034144,0.0005281077],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005661642,0.000004084674,0.9493788,0.0002273078,0.00004837313,0.00024639,9.412418e-7,0.0001343733,0.04429801],"genre_scores_gemma":[0.954487,0.000001168731,0.0430548,0.001931086,0.00003240418,0.00009869517,0.000006206015,0.00000319324,0.0003854124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9488254,"threshold_uncertainty_score":0.3314573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306627837752052,"score_gpt":0.3089163420053649,"score_spread":0.2958500636278444,"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."}}