{"id":"W2063112528","doi":"10.1145/2492517.2492598","title":"Cancelable fusion using social network analysis","year":2013,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Centrality; Computer science; Transformation (genetics); Artificial intelligence; Biometrics; Social network analysis; Fusion; Domain (mathematical analysis); Pattern recognition (psychology); Sensor fusion; Data mining; Mathematics; Social media","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":[0.000165134,0.00004557518,0.00009166991,0.0002086324,0.0002294982,0.0002505646,0.000322032,0.00003920084,0.0007446441],"category_scores_gemma":[0.000005462351,0.00003970564,0.00006592365,0.004776563,0.00001478491,0.0002990272,0.0001121007,0.00004066208,0.000159009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709638,"about_ca_system_score_gemma":0.00002690802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543302,"about_ca_topic_score_gemma":0.00009535297,"domain_scores_codex":[0.9993395,0.00003275728,0.0001198587,0.0001790569,0.0001635232,0.0001653281],"domain_scores_gemma":[0.9995934,0.00001479382,0.00004820382,0.0002015695,0.0000980422,0.00004396811],"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":[0.000002455163,0.0002492024,0.03702667,0.0000194417,0.000606732,0.000003808093,0.002151885,0.002651499,0.004242307,0.433773,0.2638234,0.2554496],"study_design_scores_gemma":[0.00007327098,0.000003589193,0.04578939,6.793337e-7,0.00003197345,5.250571e-7,0.00002173072,0.938732,0.0001509157,0.003797056,0.01127757,0.0001212466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03673794,0.00004953334,0.9583539,0.0006565549,0.000220768,0.00006065434,3.103001e-7,0.00008209031,0.003838273],"genre_scores_gemma":[0.9169868,0.000004967775,0.08066189,0.0004700804,0.0001027175,0.000003916232,0.000002752629,0.000001889079,0.001764989],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9360806,"threshold_uncertainty_score":0.8153331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937554989100508,"score_gpt":0.2666104409831008,"score_spread":0.2372348910920957,"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."}}