{"id":"W2090398160","doi":"10.1109/esem.2011.22","title":"How Good is Your Comment? A Study of Comments in Java Programs","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Java; Structuring; Code review; Focus (optics); Code (set theory); Taxonomy (biology); Point (geometry); Empirical research; Source code; Software engineering; Static program analysis; Open source; Data science; Programming language; World Wide Web; Software development; Software; Set (abstract data type)","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":[0.01674802,0.0003952461,0.00053196,0.002478777,0.003458171,0.003538845,0.001001209,0.001957873,0.001356725],"category_scores_gemma":[0.1537429,0.0004391042,0.0003490404,0.002769634,0.003795892,0.005076062,0.002226395,0.002419867,0.0003937495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111832,"about_ca_system_score_gemma":0.001329127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321408,"about_ca_topic_score_gemma":0.004619084,"domain_scores_codex":[0.9810351,0.01292167,0.001288143,0.001177586,0.002841241,0.0007362292],"domain_scores_gemma":[0.5935417,0.3374791,0.03517704,0.003793923,0.02567742,0.004330799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003604736,0.0006487157,0.1724795,0.0007130574,0.00005064656,0.0008363807,0.7914591,0.0001056949,0.002513129,0.00103901,0.001681992,0.02811222],"study_design_scores_gemma":[0.00003485956,0.001032302,0.2850328,0.0005444249,0.00004957983,0.000715558,0.7003384,0.000865075,0.001323276,0.0006221125,0.009335889,0.0001057301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964346,0.0001825056,0.0007196262,0.0006182469,0.00001900981,0.00006020502,0.00005330376,0.00001258947,0.001899959],"genre_scores_gemma":[0.998156,0.0002238689,0.000535414,0.0002583334,0.00002797047,0.00009068105,0.00006387892,0.00002322417,0.0006204894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01674802,"threshold_uncertainty_score":0.08857298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038988231966806,"score_gpt":0.3023409569074115,"score_spread":0.1984421337107309,"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."}}