{"id":"W1671257183","doi":"10.1109/rams.2002.981650","title":"Reliability estimation of hierarchical software systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Reliability engineering; Computer science; Software quality; Software reliability testing; Reliability (semiconductor); Reliability block diagram; Criticality; Software; Process (computing); Software sizing; Software system; Software development; Software construction; Fault tree analysis; Engineering; Programming language","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":[0.001269354,0.00007862827,0.0002005923,0.0001031361,0.00006790494,0.00007174734,0.0004873682,0.00006674131,0.00004340123],"category_scores_gemma":[0.00269511,0.00006297011,0.00009800807,0.0006590436,0.0000939134,0.0002914557,0.00008744671,0.0001334703,0.00004218717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004253709,"about_ca_system_score_gemma":0.0001331944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008250612,"about_ca_topic_score_gemma":0.000001268015,"domain_scores_codex":[0.9983224,0.0003150636,0.0003318409,0.0003262804,0.0004990997,0.0002053438],"domain_scores_gemma":[0.9981922,0.0006479801,0.000054617,0.0007928069,0.0002105164,0.0001019069],"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":[0.000009464188,0.0005664189,0.02091646,0.0004015172,0.00004996304,0.000006017161,0.0003337667,0.1023722,0.0002558008,0.8046632,0.0008825218,0.06954271],"study_design_scores_gemma":[0.0003328773,0.0001420738,0.007177608,0.00003969402,0.000009760587,0.00001523031,0.00003634835,0.9254063,0.003419831,0.06093565,0.002235346,0.0002492736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0374263,0.00007728878,0.960471,0.0001121982,0.00008679926,0.0001299577,9.568789e-7,0.0001466967,0.001548839],"genre_scores_gemma":[0.8371229,0.000006524142,0.1626026,0.00001590174,0.000005398058,0.00001065551,0.000001159282,0.000002832783,0.0002319771],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8230341,"threshold_uncertainty_score":0.3226493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618102002391458,"score_gpt":0.2767193286720862,"score_spread":0.2605383086481716,"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."}}