{"id":"W2883473889","doi":"10.1145/3196398.3196471","title":"Do software engineers use autocompletion features differently than other developers?","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Software engineering; Software; 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":[0.005210273,0.00027612,0.0004422383,0.002360557,0.0005654584,0.001344649,0.0005607327,0.0008126484,0.002332451],"category_scores_gemma":[0.05272198,0.0003078625,0.0003244714,0.002125802,0.0006841844,0.002401108,0.0008058905,0.0007005963,0.001258167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578589,"about_ca_system_score_gemma":0.0003967054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959777,"about_ca_topic_score_gemma":0.007462313,"domain_scores_codex":[0.9946104,0.001671748,0.000585457,0.001276735,0.001358427,0.0004972198],"domain_scores_gemma":[0.9220654,0.04529012,0.01994021,0.004903643,0.005548526,0.002252058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001464117,0.00005960867,0.9561154,0.0001076436,0.00007655445,0.0001164524,0.007436638,0.00005689966,0.0007869238,0.0001823105,0.001618302,0.033297],"study_design_scores_gemma":[0.00001798297,0.0001011253,0.9792762,0.00008153678,0.00005489459,0.0006678461,0.01043011,0.0006057702,0.001247249,0.0007540068,0.006730375,0.00003295764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945146,0.0003943398,0.001800185,0.0006129869,0.00002385192,0.00002329488,0.0007566224,0.00007254889,0.001801702],"genre_scores_gemma":[0.9954527,0.0002746656,0.001225685,0.0003427327,0.00002359231,0.00004643114,0.00131261,0.00006616892,0.001255402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005210273,"threshold_uncertainty_score":0.02755487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098311220675916,"score_gpt":0.2691335650825866,"score_spread":0.2381504528758274,"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."}}