{"id":"W1982036946","doi":"10.1007/s10664-013-9260-1","title":"An experimental investigation on the effects of context on source code identifiers splitting and expansion","year":2013,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Identifier; Computer science; Source code; Program comprehension; Context (archaeology); Documentation; Acronym; Unique identifier; Internal documentation; Code (set theory); Set (abstract data type); Software documentation; World Wide Web; Information retrieval; Software; Programming language; Software system; Software development; Software development process; Linguistics; Software construction","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":[0.0002806934,0.0001975843,0.0001776258,0.0001383536,0.0001052683,0.0001573268,0.0004852157,0.00008255862,0.000008768182],"category_scores_gemma":[0.002738734,0.0001537453,0.00004646792,0.0003043611,0.00005734771,0.000355807,0.0001497258,0.0003026077,0.00002624725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007987529,"about_ca_system_score_gemma":0.00001956101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002793354,"about_ca_topic_score_gemma":2.288643e-7,"domain_scores_codex":[0.9985512,0.00007236265,0.0002199207,0.0003862142,0.0004531449,0.0003171652],"domain_scores_gemma":[0.9955096,0.00367555,0.00004862361,0.0005090553,0.00005241338,0.0002047656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004877655,0.0006785723,0.3176626,0.001146873,0.0001942592,0.0000656466,0.02845277,0.0965426,0.439699,0.0040259,0.008019487,0.1034636],"study_design_scores_gemma":[0.0007635819,0.001173082,0.2725239,0.0006991011,0.000007669824,0.00001373788,0.0001983246,0.1995425,0.5238447,0.0001666148,0.0004211255,0.0006456858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8269589,0.0001484634,0.1717982,0.0001797046,0.00022943,0.0003056601,4.757983e-7,0.0003771865,0.000001978847],"genre_scores_gemma":[0.99421,0.000002062442,0.005319396,0.0002676044,0.00005782186,0.00008834815,0.000001583935,0.00002949198,0.00002366109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1672512,"threshold_uncertainty_score":0.626955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198724330209688,"score_gpt":0.2680422619443208,"score_spread":0.246055018642224,"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."}}