{"id":"W3137652218","doi":"10.33915/etd.1146","title":"Software tool for reliability estimation","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Software construction; Software reliability testing; Computer science; Software sizing; Software; Avionics software; Reliability (semiconductor); Reliability engineering; Software quality; Verification and validation; Software system; Component (thermodynamics); Component-based software engineering; Software development; Embedded system; Software engineering; Engineering; Operating system; Power (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009170456,0.0002595898,0.0003916754,0.0002251752,0.0002326009,0.0003380832,0.00116208,0.000365904,0.0001530812],"category_scores_gemma":[0.002991953,0.0002304634,0.0003823127,0.0006652634,0.00002488353,0.0005015176,0.00007280148,0.0002761618,0.000123458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496934,"about_ca_system_score_gemma":0.0003563844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006551341,"about_ca_topic_score_gemma":0.00005710379,"domain_scores_codex":[0.9975078,0.00007731912,0.000496685,0.0008871864,0.0006375897,0.0003934691],"domain_scores_gemma":[0.9969533,0.0008909783,0.0001522078,0.001182898,0.0007263207,0.00009429872],"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":[0.00006178977,0.0002462179,0.0007292581,0.0009038097,0.0000731365,0.000003648979,0.0003205841,0.001741742,0.0000185339,0.01090495,0.009151177,0.9758452],"study_design_scores_gemma":[0.0009667519,0.0003576909,0.006697414,0.0002603357,0.0001348297,0.000006955326,0.0001278133,0.6237844,0.002556508,0.3257898,0.03770879,0.001608662],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005356747,0.0001013003,0.9907282,0.0002891611,0.0004097022,0.0007544296,0.00001004887,0.0005393059,0.001811105],"genre_scores_gemma":[0.01013759,0.0001440321,0.873507,0.0001667483,0.0001860919,0.0007586192,0.002027816,0.00005049401,0.1130216],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9742365,"threshold_uncertainty_score":0.9398024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595859706374152,"score_gpt":0.3189155740456106,"score_spread":0.302956976981869,"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."}}