{"id":"W4391182719","doi":"10.1134/s0361768823080157","title":"A Metrics Suite for Measuring Indirect Coupling Complexity","year":2023,"lang":"en","type":"article","venue":"Programming and Computer Software","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Suite; Computer science; Coupling (piping); Engineering; Geography; Mechanical engineering","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":[0.001071219,0.0002217654,0.0002951437,0.0005226472,0.000367233,0.0006462869,0.0007842753,0.000085913,4.905036e-7],"category_scores_gemma":[0.0005842604,0.0002261973,0.000102466,0.001827539,0.00005199343,0.0002692112,0.0007483838,0.0002255904,0.00001485004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006111875,"about_ca_system_score_gemma":0.00004250165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002637558,"about_ca_topic_score_gemma":0.000003278129,"domain_scores_codex":[0.9978885,0.0000254595,0.0002428631,0.0006425548,0.0004507394,0.0007498995],"domain_scores_gemma":[0.9971917,0.001896142,0.00005925188,0.00045835,0.000185224,0.0002092918],"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":[0.000006283451,0.00004314254,0.1282844,0.0003889382,0.00006661045,0.00003083057,0.0006683216,0.00116935,0.000005689973,0.001566062,0.0003855003,0.8673849],"study_design_scores_gemma":[0.0009548221,0.0003229048,0.0914174,0.0001858495,0.00001851164,0.00004893961,0.00002840927,0.8926858,0.0002604389,0.002325309,0.01098382,0.0007678519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1032036,0.0003458418,0.891864,0.000116708,0.0004802,0.0004527943,0.000004909623,0.003530919,0.000001050597],"genre_scores_gemma":[0.4102961,0.00001837167,0.5891728,0.00004035156,0.0001919063,0.0001860568,0.00002195162,0.00003661796,0.00003578988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8915164,"threshold_uncertainty_score":0.9224057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08919272441544598,"score_gpt":0.2921911047831123,"score_spread":0.2029983803676663,"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."}}