{"id":"W2124961859","doi":"10.1109/icpc.2007.6","title":"A Comparative Study of Three Program Exploration Tools","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Computer science; Task (project management); Variety (cybernetics); Software engineering; Software; Plan (archaeology); Human–computer interaction; Code (set theory); Programming language; Artificial intelligence; Systems engineering; Engineering","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":[0.006090919,0.000715998,0.000747135,0.002724066,0.0009307271,0.00165931,0.001209476,0.00104155,0.001570913],"category_scores_gemma":[0.04875923,0.0004365612,0.0004340357,0.001797434,0.001273695,0.002738542,0.00181612,0.0007610745,0.0002563953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008569362,"about_ca_system_score_gemma":0.001061001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00092799,"about_ca_topic_score_gemma":0.001866388,"domain_scores_codex":[0.9943461,0.002796405,0.000733858,0.0005566082,0.001007951,0.0005591049],"domain_scores_gemma":[0.9375277,0.04755719,0.003891753,0.003316344,0.004347104,0.00335987],"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":[0.03049041,0.05233792,0.150807,0.005912224,0.0007987366,0.002568977,0.1000173,0.005623526,0.1234811,0.003552065,0.002155979,0.5222548],"study_design_scores_gemma":[0.005436977,0.1814809,0.65053,0.0005808714,0.0009804963,0.003467372,0.04157172,0.01689714,0.07065737,0.004330853,0.02352925,0.000537021],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975634,0.000119341,0.001193761,0.00002231148,0.000003814606,0.0001815422,0.00003569379,0.00005645022,0.0008237623],"genre_scores_gemma":[0.9906986,0.0001815873,0.007777647,0.00004849784,0.000007931873,0.0004613941,0.0002150301,0.00003409243,0.0005751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006090919,"threshold_uncertainty_score":0.03221226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536241476508637,"score_gpt":0.3823456594317601,"score_spread":0.2287215117808964,"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."}}