{"id":"W2589239371","doi":"10.71781/10596","title":"Software stability assessment using multiple prediction models","year":2003,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005648897,0.001323723,0.00131263,0.003183494,0.00068902,0.002335038,0.001423495,0.001036545,0.003374913],"category_scores_gemma":[0.02531833,0.0006746667,0.001648417,0.001877506,0.0004505513,0.00201664,0.001055126,0.001347674,0.001042613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001971276,"about_ca_system_score_gemma":0.002333018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05301514,"about_ca_topic_score_gemma":0.04572927,"domain_scores_codex":[0.9969086,0.000878317,0.0001645475,0.0005131192,0.001356716,0.0001787458],"domain_scores_gemma":[0.988937,0.006014115,0.0009538457,0.001105473,0.002768021,0.0002215097],"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":[0.0004533055,0.0001978196,0.02680425,0.0002543208,0.0005259697,0.0002179844,0.0002186169,0.4322447,0.005010859,0.004133318,0.006330134,0.5236089],"study_design_scores_gemma":[0.00001634274,0.000113402,0.008123615,0.00004010852,0.00011109,0.0000457119,0.00003185768,0.985196,0.002305333,0.00301591,0.0009686779,0.00003204034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1342614,0.003084429,0.8521851,0.001043056,0.0002320717,0.0001251853,0.0007663303,0.003501116,0.004801329],"genre_scores_gemma":[0.8492518,0.001368387,0.1414379,0.00006603013,0.0001282229,0.000144454,0.001285442,0.0003210126,0.005996656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05301514,"threshold_uncertainty_score":0.1054131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653782328543069,"score_gpt":0.3908664435388779,"score_spread":0.2254882106845709,"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."}}