{"id":"W2528357321","doi":"","title":"Querying Instances – A Protocol Analysis Study","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia","funders":"","keywords":"Computer science; Protocol (science); Computer network; Medicine","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":[0.01854435,0.00115029,0.001804648,0.003940375,0.00335646,0.008742904,0.006645763,0.003177607,0.007422142],"category_scores_gemma":[0.1007043,0.001575847,0.0044561,0.005988644,0.004674966,0.03682796,0.005655356,0.006997179,0.0007449595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005548399,"about_ca_system_score_gemma":0.005312193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005744875,"about_ca_topic_score_gemma":0.00371383,"domain_scores_codex":[0.9670855,0.01148374,0.002258524,0.003452918,0.01294225,0.002776918],"domain_scores_gemma":[0.841996,0.1146472,0.005010158,0.02892596,0.007959315,0.001461381],"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":[0.001103479,0.0009511168,0.02068505,0.0004270901,0.0002999445,0.0007996019,0.003058916,0.05114157,0.009659616,0.8261656,0.00501795,0.08069023],"study_design_scores_gemma":[0.0001209981,0.0002041628,0.002492975,0.00009609714,0.0003415,0.001011845,0.001966148,0.6082509,0.01327134,0.3653461,0.00680107,0.00009687651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.274543,0.0008334955,0.7022765,0.003366068,0.00007979925,0.001087705,0.0009129123,0.00198383,0.01491666],"genre_scores_gemma":[0.8553618,0.0006184739,0.1360484,0.000478807,0.000130617,0.0003978539,0.0009612794,0.0009876001,0.005015156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01854435,"threshold_uncertainty_score":0.09807307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035849315081706,"score_gpt":0.3420433710360961,"score_spread":0.321684877885279,"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."}}