{"id":"W2118006046","doi":"10.1109/hase.1998.731597","title":"Software component independence","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Component (thermodynamics); Independence (probability theory); Markov chain; Markov model; Markov process; Software; Software quality; Continuation; Reliability (semiconductor); Theoretical computer science; Programming language; Reliability engineering; Software development; Engineering; Mathematics; Machine learning; Statistics","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":[0.00342861,0.0009808055,0.001148768,0.001508382,0.001564907,0.002709827,0.001795501,0.001285065,0.01164778],"category_scores_gemma":[0.01969995,0.001028989,0.002028132,0.001424184,0.002661498,0.004459036,0.003529212,0.00458058,0.008798395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943375,"about_ca_system_score_gemma":0.002838705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458005,"about_ca_topic_score_gemma":0.001172897,"domain_scores_codex":[0.9936413,0.000750669,0.0004435423,0.0009495837,0.003700251,0.0005145353],"domain_scores_gemma":[0.9844058,0.00570516,0.0008919581,0.003865268,0.004712668,0.0004190966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001571382,0.0000898108,0.00259956,0.0004281664,0.00007591349,0.0006634316,0.0004958397,0.01765247,0.01183407,0.8270392,0.0140429,0.1249215],"study_design_scores_gemma":[0.00007229645,0.0001799684,0.002505854,0.000177027,0.0001166841,0.002452841,0.0001317019,0.08634849,0.02906921,0.7438824,0.1349661,0.00009750528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006359986,0.0001713556,0.9683996,0.0002514598,0.000124394,0.0001842256,0.000368407,0.001748191,0.0223923],"genre_scores_gemma":[0.3981152,0.001213513,0.5591474,0.001032439,0.0005912351,0.001615942,0.002091384,0.002498006,0.03369489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01164778,"threshold_uncertainty_score":0.03896576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278174749652785,"score_gpt":0.2596420986004136,"score_spread":0.2268603511038857,"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."}}