{"id":"W2289683071","doi":"","title":"Crack me, I'm famous!: Cracking weak passphrases using freely available sources","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Password; Mnemonic; Computer science; Cracking; Power (physics); Password cracking; Computer security; Materials science; Physics; Composite material","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01385742,0.0009401037,0.00108486,0.0004493818,0.001255954,0.003791313,0.005157056,0.0007456613,0.00065721],"category_scores_gemma":[0.003118837,0.001069191,0.0005336767,0.001297614,0.0007177956,0.001173551,0.004432501,0.001300973,0.001395442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430104,"about_ca_system_score_gemma":0.001653988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008123,"about_ca_topic_score_gemma":0.004310339,"domain_scores_codex":[0.9805033,0.01281526,0.001723815,0.002204244,0.001586957,0.001166449],"domain_scores_gemma":[0.9822037,0.002180367,0.001827475,0.005479552,0.007468794,0.0008401098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003151094,0.003568415,0.01461597,0.001213284,0.0005995957,0.00005062594,0.3499773,0.0009165926,0.008987848,0.5717319,0.02386235,0.02444466],"study_design_scores_gemma":[0.0008370499,0.000001303771,0.00101463,0.004086121,0.0001518337,0.00009659065,0.0008153161,0.6884206,0.01292091,0.008307519,0.2820658,0.001282307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2125788,0.01291903,0.6406575,0.02397174,0.003181873,0.001741271,0.000177788,0.001139472,0.1036325],"genre_scores_gemma":[0.7686557,0.0007758762,0.07982551,0.0003359454,0.0002161973,0.0001024228,0.0003479788,0.0001615326,0.1495789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.687504,"threshold_uncertainty_score":0.9993821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05061861499214299,"score_gpt":0.2542833764474411,"score_spread":0.2036647614552981,"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."}}