{"id":"W2034314383","doi":"10.1007/s10664-012-9212-1","title":"Preface to the special issue on program comprehension","year":2012,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Program comprehension; Computer science; Comprehension; Programming language; Software","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002487735,0.0001627595,0.0001385309,0.00005805886,0.0001413373,0.0001177623,0.0004766346,0.00005404046,0.00002983998],"category_scores_gemma":[0.0002423014,0.0001120618,0.00006712066,0.0003139436,0.000005986196,0.0001788071,0.0002084427,0.000278886,0.0009222677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007950963,"about_ca_system_score_gemma":0.000009326405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006452523,"about_ca_topic_score_gemma":3.479103e-7,"domain_scores_codex":[0.9987666,0.00003920219,0.0001655151,0.0002339125,0.0003231506,0.0004716438],"domain_scores_gemma":[0.9991767,0.0002205711,0.0000293282,0.0003497097,0.00003750977,0.0001861808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002480074,0.0005520602,0.0631234,0.0001037417,0.00008613384,0.00002092551,0.01236993,0.4223198,0.0002293786,0.02229562,0.09879458,0.3800797],"study_design_scores_gemma":[0.000040666,0.0001081113,0.03639875,0.00005150449,0.000001710586,0.00000471894,0.00001003816,0.004118036,0.0003563281,0.000002473207,0.9587491,0.0001585188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06445963,0.0001337916,0.9266888,0.001422838,0.004928952,0.0005847375,8.492068e-7,0.001223132,0.0005572974],"genre_scores_gemma":[0.8297892,0.000002258241,0.1313109,0.001215036,0.03134201,0.0001502761,0.000002656298,0.00006773991,0.006119965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8599546,"threshold_uncertainty_score":0.9998556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970459874470249,"score_gpt":0.2914560079623384,"score_spread":0.261751409217636,"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."}}