{"id":"W79589210","doi":"","title":"ON THE DISTRIBUTION OF SOURCE CODE FILE SIZES","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Victoria","funders":"","keywords":"Computer science; Source code; Log-normal distribution; Software; Code (set theory); Software quality; Pareto distribution; Statistics; Operating system; Mathematics; Software development; Programming language; 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":[0.007255633,0.0005762368,0.0004156758,0.004572449,0.0004100761,0.001717407,0.001314435,0.001338053,0.002296839],"category_scores_gemma":[0.08253697,0.0004774033,0.0003677271,0.002769451,0.001865927,0.003236655,0.001099923,0.001035694,0.0007587355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798215,"about_ca_system_score_gemma":0.0005965661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003242161,"about_ca_topic_score_gemma":0.001765522,"domain_scores_codex":[0.9962795,0.001231368,0.0001705107,0.0009402855,0.001080329,0.0002979311],"domain_scores_gemma":[0.8773171,0.09060915,0.009505787,0.006952433,0.01408399,0.001531586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001015545,0.0003019611,0.6052814,0.0003160155,0.0002060386,0.0008591095,0.001513054,0.2547658,0.01038069,0.03922089,0.005635021,0.08050448],"study_design_scores_gemma":[0.0000631838,0.0002154547,0.2456012,0.0001355188,0.0000568133,0.001302752,0.0005727441,0.7190834,0.007347787,0.0228702,0.002624619,0.0001263733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494039,0.0004612553,0.04442424,0.0005850646,0.00002479281,0.00005528282,0.00124891,0.0004271887,0.003369395],"genre_scores_gemma":[0.9944091,0.0001710207,0.003486502,0.00003852972,0.00003539502,0.00004686454,0.001262316,0.00007773026,0.0004724237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007255633,"threshold_uncertainty_score":0.03837192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300936040446079,"score_gpt":0.2369343151585387,"score_spread":0.2068407111139308,"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."}}