{"id":"W2911254135","doi":"10.1007/s12652-019-01172-x","title":"A password creation and validation system for social media platforms based on big data analytics","year":2019,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Password; Computer science; Password strength; Big data; Analytics; Social media; Computer security; Social media analytics; Cognitive password; Password policy; S/KEY; Data science; World Wide Web; Internet privacy; One-time password; Data mining","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":[0.001297997,0.0001136419,0.0002680674,0.0002413934,0.0002041001,0.0003605642,0.0005429185,0.00005432416,0.000001806082],"category_scores_gemma":[0.00009562825,0.00009342103,0.00005385561,0.0001681696,0.00002642361,0.000345617,0.000128091,0.0001245021,0.000003955522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136526,"about_ca_system_score_gemma":0.00005609934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003398727,"about_ca_topic_score_gemma":0.000003172366,"domain_scores_codex":[0.9986069,0.00004115171,0.0005918188,0.0002462522,0.000362803,0.0001511013],"domain_scores_gemma":[0.9983292,0.0004556897,0.0005944438,0.000272942,0.0002781271,0.00006959814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004979094,0.0006308479,0.009324991,0.001604847,0.0003468924,0.00002013774,0.1447194,0.002318199,0.001680625,0.2911864,0.0006055174,0.5470643],"study_design_scores_gemma":[0.0004863734,0.0002079786,0.000964675,0.0002647327,0.00003137164,0.0000207846,0.001260796,0.994011,0.0008792377,0.001373839,0.0003743176,0.0001248344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.36242,0.00003926593,0.6364092,0.0001585672,0.0007300442,0.0001775594,0.000003481137,0.00002057495,0.00004138186],"genre_scores_gemma":[0.9964368,0.000008983761,0.003138492,0.00007805506,0.0003083581,7.040692e-7,0.00001214817,0.000006760795,0.000009684683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9916928,"threshold_uncertainty_score":0.3809599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371696842392769,"score_gpt":0.3133901586541847,"score_spread":0.1762204744149078,"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."}}