{"id":"W1970965277","doi":"10.1002/j.2334-5837.2008.tb00805.x","title":"2.3.2 COSYSMO Reuse Extension","year":2008,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Reuse; Computer science; Constructive; Software engineering; Extension (predicate logic); Reusability; Software deployment; Systems engineering; Industrial engineering; Process (computing); Programming language; Engineering; Software","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":[0.0001642272,0.0001023903,0.00008319306,0.00007789943,0.00008841281,0.00007431045,0.001461118,0.00005533702,0.00003307552],"category_scores_gemma":[0.000186944,0.00009761479,0.00005254606,0.0001417518,0.00002183525,0.0007359463,0.0004842367,0.0001339712,0.0001340508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007077123,"about_ca_system_score_gemma":0.00002669045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007160287,"about_ca_topic_score_gemma":0.000001303962,"domain_scores_codex":[0.9990709,0.00001721717,0.000173172,0.0002594381,0.0003426188,0.0001366142],"domain_scores_gemma":[0.9989443,0.0001587384,0.00007548053,0.0006142441,0.0001453421,0.00006183954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002373782,0.001811112,0.02219371,0.00005880298,0.0004844028,0.006199474,0.006377529,0.007430402,0.187838,0.3229551,0.3635851,0.08082896],"study_design_scores_gemma":[0.0005446483,0.0001939567,0.01731359,0.00007274613,0.000007571891,0.002610386,0.00000478911,0.09050816,0.02085267,0.006638339,0.8606515,0.0006016487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124597,0.0001208032,0.8516936,0.01050425,0.003268585,0.0001498411,0.00000533824,0.001653385,0.008007193],"genre_scores_gemma":[0.8807155,0.0002196277,0.1178017,0.0005381468,0.0002066754,0.00001819175,0.000005276325,0.00001086326,0.0004839717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7561185,"threshold_uncertainty_score":0.3980616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925260869269464,"score_gpt":0.2576774146082456,"score_spread":0.2384248059155509,"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."}}