{"id":"W2087339015","doi":"10.1145/1111449.1111491","title":"Who's asking for help?","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Personalization; User modeling; Human–computer interaction; Bayesian network; Scope (computer science); Probabilistic logic; Usability; Task (project management); Intrusiveness; Software; User interface; Dynamic Bayesian network; Machine learning; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002942095,0.0003857608,0.0003666978,0.000632967,0.001078999,0.00157343,0.0007281528,0.001913366,0.005708808],"category_scores_gemma":[0.02240821,0.0003093881,0.0003203535,0.0007661113,0.0007991609,0.00192977,0.0005581314,0.0008279852,0.002395091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294288,"about_ca_system_score_gemma":0.0009980629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959491,"about_ca_topic_score_gemma":0.009117083,"domain_scores_codex":[0.9978014,0.001322943,0.0001078621,0.000313907,0.0002691205,0.0001846677],"domain_scores_gemma":[0.9876967,0.009070115,0.0009886832,0.0006545581,0.0008004039,0.0007895493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002612886,0.001007365,0.3032995,0.0008930544,0.0001587277,0.001276479,0.009248876,0.01057839,0.01658704,0.01066355,0.03736954,0.6063046],"study_design_scores_gemma":[0.0005770773,0.001817221,0.2264944,0.0007510202,0.000603226,0.0110099,0.03125962,0.4390868,0.02841688,0.09128016,0.1680474,0.0006562475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8024947,0.002865097,0.1233244,0.03056462,0.0003223972,0.0003477258,0.001138167,0.005172126,0.03377073],"genre_scores_gemma":[0.9677921,0.0006733098,0.02750302,0.000943806,0.00007330037,0.00004477148,0.0002010418,0.00009362841,0.002675125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005708808,"threshold_uncertainty_score":0.01909786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523664040931513,"score_gpt":0.2622404815263549,"score_spread":0.2470038411170397,"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."}}