{"id":"W2122723127","doi":"10.1016/j.scico.2010.10.006","title":"Metamodeling semantics of multiple inheritance","year":2010,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Inheritance (genetic algorithm); Metamodeling; Programming language; Programmer; Semantics (computer science); Context (archaeology); Construct (python library); Reusability; Multiple inheritance; Theoretical computer science; Object-oriented programming","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":[0.001472841,0.0001205836,0.0002143294,0.0002752318,0.0001002526,0.0001371996,0.002339186,0.00004519775,0.000002589853],"category_scores_gemma":[0.0005435454,0.0001144913,0.00006697753,0.001830198,0.000541553,0.0007727151,0.0008880097,0.0002595339,0.000004378414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651229,"about_ca_system_score_gemma":0.0001732372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002491439,"about_ca_topic_score_gemma":0.000005076463,"domain_scores_codex":[0.9979157,0.00001614817,0.0003288433,0.0004189875,0.0008626787,0.0004576584],"domain_scores_gemma":[0.9981773,0.000325154,0.0001329968,0.0008139585,0.0004198427,0.0001306785],"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":[0.000003498526,0.000174636,0.03761875,0.0001321224,0.00001620733,0.00000706583,0.001372986,0.01147941,0.2155296,0.01361141,0.00002706108,0.7200272],"study_design_scores_gemma":[0.0001855953,0.0000981941,0.009353772,0.00004664364,0.000002548502,0.00001426245,0.000007956608,0.8960633,0.09307116,0.000561886,0.0004207485,0.0001739554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4152538,0.00001855866,0.5840066,0.00005063001,0.0004592989,0.0001055139,2.168992e-7,0.00009342096,0.0000119048],"genre_scores_gemma":[0.5187175,7.236894e-7,0.4812421,0.000003864398,0.00002545601,0.000003467192,8.53957e-8,0.000004492468,0.00000234549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8845839,"threshold_uncertainty_score":0.4668821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989774059262699,"score_gpt":0.2773421233404728,"score_spread":0.2574443827478458,"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."}}