{"id":"W2124559112","doi":"10.1007/s10515-008-0043-7","title":"Parameter reference immutability: formal definition, inference tool, and comparison","year":2008,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Immutability; Correctness; Computer science; Scalability; Component (thermodynamics); Inference; Object (grammar); Programming language; Abstraction; Theoretical computer science; Artificial intelligence","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":[0.0002445326,0.0002436049,0.0002816339,0.0001570966,0.0002220473,0.000119984,0.0004413425,0.0001307018,0.000003672734],"category_scores_gemma":[0.002238343,0.0002461813,0.00003936079,0.0003885117,0.0000625823,0.0008303867,0.0003053368,0.0002756219,0.00001173628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768649,"about_ca_system_score_gemma":0.00005998353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436265,"about_ca_topic_score_gemma":6.737566e-7,"domain_scores_codex":[0.9985068,0.00003020273,0.0003711367,0.0004104404,0.0002360103,0.000445453],"domain_scores_gemma":[0.9979859,0.001144199,0.00008366991,0.0005647791,0.0001187828,0.0001026418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002385877,0.0004885271,0.841191,0.0007109115,0.0001923965,0.0003856072,0.007061133,0.01134767,0.0008294973,0.02941789,0.01333669,0.09501481],"study_design_scores_gemma":[0.0003059057,0.0001585508,0.2365975,0.0001729596,0.0000103925,0.0003647063,0.000003252676,0.7562332,0.0009666732,0.004015034,0.0005056714,0.0006660856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3420967,0.0001430523,0.6192803,0.00002371224,0.00009468804,0.00008773963,0.000002929686,0.03824978,0.0000210945],"genre_scores_gemma":[0.5963822,0.00001562409,0.4034835,0.00006151899,0.000009498167,0.00002650004,0.00000879028,0.000009624868,0.000002739347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7448856,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144959300512138,"score_gpt":0.2640226251437893,"score_spread":0.2225730321386679,"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."}}