{"id":"W7124835252","doi":"10.1109/asew67777.2025.00075","title":"Beyond More Context: How Granularity and Order Drive Code Completion Quality","year":2025,"lang":"","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Python (programming language); Context (archaeology); Code (set theory); Granularity; Source code; Quality (philosophy)","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":[0.003955062,0.001018947,0.000891873,0.00220599,0.0006608337,0.003239898,0.001415082,0.00120375,0.00162502],"category_scores_gemma":[0.0528249,0.0006570328,0.0007221337,0.001378672,0.001028345,0.00694197,0.002265095,0.001995801,0.001182372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067885,"about_ca_system_score_gemma":0.002188191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007761,"about_ca_topic_score_gemma":0.0123062,"domain_scores_codex":[0.9969494,0.000770957,0.000248757,0.0008619196,0.0008825504,0.0002864859],"domain_scores_gemma":[0.9788831,0.01216624,0.002117611,0.003085071,0.002751896,0.0009961075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002858145,0.0009062698,0.1393065,0.001381327,0.0003110039,0.00056781,0.002732864,0.1837491,0.0903784,0.005184195,0.0151472,0.5574772],"study_design_scores_gemma":[0.0001927578,0.001242084,0.05356747,0.0001720936,0.0002421299,0.0004667827,0.001039145,0.8574134,0.06060426,0.01461581,0.0102229,0.0002211963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.773792,0.004065372,0.1967091,0.001421469,0.0001996891,0.0003800728,0.00134198,0.01680773,0.00528262],"genre_scores_gemma":[0.9221798,0.0004543686,0.07275454,0.000205681,0.0000576501,0.0001116834,0.001635994,0.001158032,0.001442261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007761,"threshold_uncertainty_score":0.02091664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903589226310165,"score_gpt":0.323552250156846,"score_spread":0.2945163578937444,"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."}}