{"id":"W4317000347","doi":"10.1145/3573074.3573080","title":"The Java Pathfinder Workshop 2022","year":2023,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Programming language; Java; Bytecode; Symbolic execution; Java bytecode; Model checking; Program analysis; Java Modeling Language; Pathfinder; Java annotation; Software engineering; Software; Real time Java; World Wide Web","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001196975,0.0002527951,0.0002373925,0.0002500563,0.0005019355,0.0004685047,0.00292751,0.0001338077,0.00002637155],"category_scores_gemma":[0.2138607,0.0001927926,0.0002135851,0.002692252,0.00006855947,0.0003503736,0.001427363,0.0005004752,0.0005851457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007000548,"about_ca_system_score_gemma":0.00009416448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002058886,"about_ca_topic_score_gemma":0.000007177954,"domain_scores_codex":[0.9974196,0.00007037934,0.0003297406,0.0005760292,0.0007659416,0.000838339],"domain_scores_gemma":[0.8620073,0.1350132,0.00006658223,0.002488959,0.0001918905,0.0002320725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002099851,0.0001596694,0.3547589,0.000258155,0.0004373842,0.0002857549,0.002225194,0.0285836,0.002428785,0.01067074,0.02726092,0.5729099],"study_design_scores_gemma":[0.001343723,0.0002376102,0.6059012,0.0003799647,0.00007814713,0.00007436499,0.0002472902,0.1800565,0.005622025,0.006461737,0.1965271,0.003070252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2042222,0.003576881,0.7676269,0.01242144,0.00212716,0.0005944969,0.00001844978,0.009402543,0.000009901505],"genre_scores_gemma":[0.9795129,0.0004865604,0.01865981,0.0001509129,0.0002367633,0.0001305891,0.00001976858,0.00005363194,0.0007490456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7752907,"threshold_uncertainty_score":0.7927613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394999397319325,"score_gpt":0.2714183101211945,"score_spread":0.2474683161480012,"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."}}