{"id":"W1985892950","doi":"10.1007/s10664-015-9371-y","title":"An empirical study of integration activities in distributions of open source software","year":2015,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Queen's University; Polytechnique Montréal","funders":"","keywords":"Computer science; Component (thermodynamics); Reuse; System integration; Software engineering; Software; Context (archaeology); Software quality; Component-based software engineering; Software development; Systems engineering; Engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008662375,0.000259028,0.0005150956,0.0004236351,0.0000435207,0.0001468789,0.001951123,0.0001343392,0.000006790422],"category_scores_gemma":[0.005065159,0.0002537025,0.00006658448,0.00166649,0.000046856,0.001178265,0.0008728306,0.0004592265,0.000003556591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801018,"about_ca_system_score_gemma":0.0002299429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000306892,"about_ca_topic_score_gemma":0.00004873782,"domain_scores_codex":[0.9975978,0.0001489279,0.0005891406,0.0005109319,0.0007118115,0.0004414594],"domain_scores_gemma":[0.9971159,0.001371488,0.000103828,0.0008914117,0.0002156861,0.0003017212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002767893,0.001172528,0.9035181,0.00004398621,0.00003039036,0.00001829958,0.006023461,0.08377262,0.0001712503,0.00005257028,0.0003959478,0.004773187],"study_design_scores_gemma":[0.002067694,0.001785241,0.9236926,0.0001817435,0.00001662646,0.00001915702,0.001075469,0.06584404,0.003699983,0.0002619005,0.0006871235,0.0006684014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4973614,0.00003371427,0.5019266,0.00003320527,0.0001071206,0.0002696852,0.000007043487,0.0002587615,0.000002507996],"genre_scores_gemma":[0.9410214,0.000001052593,0.05877686,0.0000113227,0.00003952617,0.00008511166,0.00001505684,0.00003308343,0.00001656316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4436601,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030563834253202,"score_gpt":0.3592406911326763,"score_spread":0.2989350527901443,"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."}}