{"id":"W994117549","doi":"","title":"Enhancements to jml and its extended static checking technology","year":2009,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Programming language; HOL; Debugging; Java Modeling Language; Java; Compiler; Static analysis; Model checking; Mathematical proof; Java annotation; Java applet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01119047,0.001456084,0.001362501,0.00259528,0.001099061,0.004293405,0.004840271,0.001823234,0.0108885],"category_scores_gemma":[0.02250829,0.002423356,0.003935138,0.001577424,0.002137131,0.008277111,0.004234822,0.005646953,0.007560449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179148,"about_ca_system_score_gemma":0.003393676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554127,"about_ca_topic_score_gemma":0.003267959,"domain_scores_codex":[0.9887912,0.002574014,0.001265211,0.001705601,0.004945731,0.0007181506],"domain_scores_gemma":[0.9818,0.005633135,0.001498809,0.007653546,0.003087108,0.0003273661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006157732,0.0003701991,0.004422027,0.00207896,0.0002568335,0.001269067,0.001906581,0.01647377,0.06153467,0.3969388,0.03927314,0.4748601],"study_design_scores_gemma":[0.0003015499,0.000332828,0.001653181,0.0007020932,0.000310305,0.001879111,0.00009884666,0.1508286,0.0816209,0.1014871,0.6604614,0.0003240726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002639102,0.0003460726,0.9452462,0.0005172559,0.0003147528,0.0001430114,0.0004065993,0.04111823,0.009268917],"genre_scores_gemma":[0.05850532,0.0007471353,0.908722,0.0009501465,0.0005110027,0.0004230637,0.001653592,0.01326653,0.01522114],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01119047,"threshold_uncertainty_score":0.05918157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714546588291408,"score_gpt":0.2950115176501598,"score_spread":0.2678660517672458,"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."}}