{"id":"W2575734139","doi":"10.1016/j.scico.2016.12.001","title":"Preface to the special issue on advances in software measurement","year":2017,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Software engineering; Software; Data science; 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":[0.003836535,0.0001285731,0.0002021334,0.0002534474,0.0008043093,0.001005478,0.005340312,0.00002700433,0.000006065218],"category_scores_gemma":[0.0008748343,0.00008766566,0.00007647587,0.0009314576,0.0005333058,0.001183633,0.001230749,0.0001808493,0.00004848727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125677,"about_ca_system_score_gemma":0.0002449068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005174357,"about_ca_topic_score_gemma":0.0001205796,"domain_scores_codex":[0.9965892,0.00007302913,0.0002755581,0.0006298099,0.001902011,0.000530329],"domain_scores_gemma":[0.9976742,0.0001048839,0.0001454886,0.00152785,0.0004050757,0.0001425179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005264049,0.00008190054,0.002301262,0.00001471565,0.000002478303,0.000002562166,0.0006403062,0.002698783,0.00002656224,0.001212984,0.0001151349,0.992898],"study_design_scores_gemma":[0.001181109,0.0019954,0.1340592,0.001099541,0.00001202627,0.00001029181,0.0002232343,0.1083372,0.0148648,0.007866233,0.7292543,0.001096725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02310801,0.0002287812,0.9647377,0.008265199,0.00157572,0.0009821098,8.833877e-7,0.0001129492,0.0009886326],"genre_scores_gemma":[0.7302114,0.00002711786,0.2681311,0.0001588991,0.001375133,0.00004887538,1.506819e-7,0.000006769049,0.00004052246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9918013,"threshold_uncertainty_score":0.9923717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234619304457469,"score_gpt":0.3261025904725725,"score_spread":0.2937563974279978,"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."}}