{"id":"W2557338026","doi":"10.1109/iemcon.2016.7746268","title":"Innovative Data Authentication Model","year":2016,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Authentication (law); Data modeling; Computer security; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007414653,0.0009742461,0.0008599337,0.002601817,0.001885037,0.005606449,0.00361822,0.003409741,0.006993308],"category_scores_gemma":[0.01487305,0.0005694808,0.00213195,0.002534834,0.002968507,0.01406519,0.006386345,0.003525138,0.004719021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00303456,"about_ca_system_score_gemma":0.004102496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687637,"about_ca_topic_score_gemma":0.001389189,"domain_scores_codex":[0.9906428,0.002653044,0.0008976316,0.002257967,0.002849214,0.0006992915],"domain_scores_gemma":[0.9881184,0.003586712,0.001112706,0.003337869,0.003212775,0.0006316397],"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":[0.0001638474,0.0001302536,0.003045572,0.0001257698,0.0000540078,0.0003746749,0.0004610861,0.03110932,0.001881134,0.9144704,0.009306675,0.03887715],"study_design_scores_gemma":[0.00007405869,0.0001520386,0.0006411278,0.00008039171,0.0000581004,0.000656189,0.0002101155,0.5385512,0.002974767,0.4011837,0.05533799,0.00008039417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01050386,0.0002557202,0.9636456,0.004697224,0.0004146712,0.0005361753,0.001028753,0.001124898,0.01779316],"genre_scores_gemma":[0.6410414,0.001087197,0.3113982,0.002252879,0.0007445825,0.002050983,0.003063037,0.0002006241,0.03816104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007414653,"threshold_uncertainty_score":0.03921288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09076213471667743,"score_gpt":0.3054555468608824,"score_spread":0.214693412144205,"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."}}