{"id":"W2052468877","doi":"10.1109/icsme.2014.29","title":"CSCC: Simple, Efficient, Context Sensitive Code Completion","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Context (archaeology); Code (set theory); Set (abstract data type); Source code; State (computer science); Simple (philosophy); Programming language","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":[0.00254982,0.001560327,0.00101308,0.00360719,0.0009806145,0.001288977,0.002845767,0.001343827,0.005499267],"category_scores_gemma":[0.02209731,0.0009539702,0.001030472,0.002211859,0.001231962,0.002937213,0.003410775,0.002359153,0.004440021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874015,"about_ca_system_score_gemma":0.003820152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009891673,"about_ca_topic_score_gemma":0.01139024,"domain_scores_codex":[0.9946549,0.000840991,0.0002460217,0.00080148,0.003229927,0.0002266564],"domain_scores_gemma":[0.9865649,0.003343845,0.001395696,0.004372847,0.003647325,0.0006753941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004339266,0.0003893545,0.005297696,0.000334281,0.00005821208,0.0002198094,0.0007292416,0.0136102,0.0211032,0.00500025,0.03111872,0.9217051],"study_design_scores_gemma":[0.0002641431,0.0007116693,0.006323,0.0001663585,0.00009378115,0.001002492,0.0005411818,0.8020312,0.08083576,0.01611692,0.09167601,0.0002375404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03955562,0.000587112,0.8844603,0.0003295071,0.0001413687,0.0007366636,0.0007996084,0.07002226,0.003367591],"genre_scores_gemma":[0.1757363,0.0002619408,0.8113003,0.0002165256,0.0000740531,0.00032838,0.002618381,0.003013275,0.006450809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009891673,"threshold_uncertainty_score":0.01966816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958105387182149,"score_gpt":0.2650654003463147,"score_spread":0.2454843464744932,"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."}}