{"id":"W4402136389","doi":"10.1007/s10664-024-10528-7","title":"Consensus task interaction trace recommender to guide developers’ software navigation","year":2024,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University; Polytechnique Montréal","funders":"","keywords":"TRACE (psycholinguistics); Recommender system; Computer science; Task (project management); Software; World Wide Web; Human–computer interaction; Software engineering; Data science; Engineering; Programming language; Systems engineering","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":[0.003049264,0.001203061,0.0008636453,0.003935229,0.001044603,0.001628709,0.001991597,0.001932364,0.005781249],"category_scores_gemma":[0.02705067,0.0004952618,0.0006648727,0.001700822,0.0002550295,0.003649493,0.001839224,0.001954021,0.004120681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009011672,"about_ca_system_score_gemma":0.003319469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853633,"about_ca_topic_score_gemma":0.04847321,"domain_scores_codex":[0.9971468,0.001001921,0.0001736415,0.0005241933,0.0009747117,0.0001787507],"domain_scores_gemma":[0.9788764,0.008946027,0.00108985,0.0030044,0.006927007,0.001156329],"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":[0.002397458,0.002245274,0.06015374,0.0006327002,0.000432451,0.0003652071,0.002068789,0.03350773,0.01450677,0.00840697,0.06715013,0.8081328],"study_design_scores_gemma":[0.0001879331,0.0009841272,0.01270811,0.0001080232,0.0002491787,0.0002176875,0.0008406983,0.9422513,0.01092596,0.01109667,0.02028755,0.0001428214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2271971,0.001376485,0.7227247,0.00138585,0.0004814014,0.0004947921,0.002355515,0.02700427,0.01697993],"genre_scores_gemma":[0.7812451,0.0002731771,0.1952741,0.0003387358,0.0001220826,0.0002769165,0.004134908,0.0009917214,0.01734334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01853633,"threshold_uncertainty_score":0.03685689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634913362255968,"score_gpt":0.3289170491667666,"score_spread":0.2925679155442069,"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."}}