{"id":"W2122467011","doi":"10.1145/2678025.2701387","title":"Exploring Personalized Command Recommendations based on Information Found in Web Documentation","year":2015,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Documentation; Computer science; Task (project management); World Wide Web; Software; Plan (archaeology); Feature (linguistics); Web application; Software documentation; Information retrieval; Human–computer interaction; Software system; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00259445,0.00128422,0.0009529146,0.007058904,0.0007876644,0.002091891,0.001265571,0.001111733,0.002075707],"category_scores_gemma":[0.02003538,0.0006197527,0.0007572543,0.003933613,0.0004109655,0.004442332,0.001058349,0.001361133,0.00128142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054896,"about_ca_system_score_gemma":0.001984008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807906,"about_ca_topic_score_gemma":0.05394702,"domain_scores_codex":[0.9978067,0.0007903479,0.0001766091,0.0004911263,0.0006150003,0.0001202256],"domain_scores_gemma":[0.9839854,0.01165789,0.0009401124,0.001253302,0.00182961,0.0003336656],"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":[0.001059226,0.001772934,0.1322686,0.001928942,0.0003766418,0.001340764,0.004931475,0.05930017,0.01668666,0.004506156,0.03126176,0.7445667],"study_design_scores_gemma":[0.0002233656,0.0005395207,0.042286,0.0003735554,0.0003919473,0.0005714964,0.005049962,0.864178,0.02481005,0.02108354,0.04027437,0.0002181572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.666306,0.002279211,0.279825,0.001607404,0.0001072074,0.0008785052,0.0135854,0.02426902,0.01114225],"genre_scores_gemma":[0.6820295,0.0006031107,0.2995313,0.0001815227,0.00003357654,0.0002758407,0.01433885,0.0008979204,0.002108326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01807906,"threshold_uncertainty_score":0.03594768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594357004825164,"score_gpt":0.3110716892556313,"score_spread":0.1516359887731149,"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."}}