{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284105,0.00009428208,0.0001419768,0.0001467858,0.00001904497,0.00007082157,0.001011631,0.00002899796,0.00001561767],"category_scores_gemma":[0.00004401807,0.00008149981,0.00002389209,0.0005151522,0.00001651993,0.0002397125,0.0004877197,0.0001256718,0.00001083295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003353759,"about_ca_system_score_gemma":0.00001531138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006949118,"about_ca_topic_score_gemma":0.0000459244,"domain_scores_codex":[0.998929,0.00004847963,0.0001516046,0.000233817,0.0003659967,0.0002711214],"domain_scores_gemma":[0.9991638,0.00007368218,0.00003230789,0.0006054083,0.00005485532,0.00006991111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004913707,0.0027359,0.9553268,0.00001823772,0.0000354516,0.00002118702,0.01423045,0.000001266807,0.00002337669,0.0009574863,0.001076333,0.0255686],"study_design_scores_gemma":[0.005424437,0.0046342,0.9616814,0.00009120349,0.000009691977,0.000009106638,0.005628611,0.01080808,0.006756648,0.0006403372,0.003700981,0.0006152572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451613,0.00002267784,0.05114405,0.001461699,0.0001425516,0.0008901148,6.26976e-7,0.0002298464,0.0009471584],"genre_scores_gemma":[0.985757,0.000001039495,0.01372862,0.0001327656,0.000004942524,0.00004941893,3.437551e-7,0.000007449038,0.0003184534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04059569,"threshold_uncertainty_score":0.3323466,"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."}}