{"id":"W2023145436","doi":"10.1109/cisda.2012.6291513","title":"Visualizing capability requirements in planning scenarios using Principal Component Analysis","year":2012,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Visualization; Principal (computer security); Component (thermodynamics); Requirements analysis; Cluster analysis; Requirements management; Set (abstract data type); Systems engineering; Principal component analysis; Process management; Risk analysis (engineering); Software engineering; Artificial intelligence; Engineering; Software; Computer security","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":[0.001605575,0.001425122,0.0005954255,0.005173461,0.0006173224,0.002360106,0.0006403463,0.0008424805,0.003117697],"category_scores_gemma":[0.004513684,0.0004942726,0.0007916605,0.003567031,0.0005133976,0.002148097,0.001542966,0.001083983,0.0005175106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315915,"about_ca_system_score_gemma":0.0009878352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004371411,"about_ca_topic_score_gemma":0.004469608,"domain_scores_codex":[0.9990489,0.0004454329,0.00007361677,0.0001295482,0.0002436294,0.00005886478],"domain_scores_gemma":[0.997807,0.001241962,0.0002647522,0.0001980288,0.0003967976,0.00009146327],"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":[0.0006772239,0.0003240314,0.01378486,0.0009060798,0.0003230798,0.00115482,0.006775929,0.4041487,0.03473381,0.05600807,0.01353644,0.467627],"study_design_scores_gemma":[0.00004615725,0.00009108142,0.009633543,0.0001010117,0.00005852846,0.0003441149,0.002335459,0.896898,0.007857185,0.07254927,0.009944379,0.0001412478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08664551,0.0003614093,0.9017012,0.0008094416,0.00003600654,0.0001950609,0.001050949,0.003812817,0.00538769],"genre_scores_gemma":[0.4457122,0.000434108,0.551331,0.00005113704,0.00002397444,0.000234939,0.001193511,0.0002368651,0.0007822418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005173461,"threshold_uncertainty_score":0.0104298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856804853464677,"score_gpt":0.3171505204835937,"score_spread":0.2685824719489469,"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."}}