{"id":"W2170369178","doi":"10.1145/1923947.1923951","title":"Improving program navigation with an active help system","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software engineering; Context (archaeology); Software; Program code; Work (physics); Code (set theory); Human–computer interaction; World Wide Web; Multimedia; Programming language; Engineering","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":[0.002529914,0.00137632,0.0006183382,0.001373237,0.0004968087,0.001362508,0.002213298,0.001285686,0.003672924],"category_scores_gemma":[0.01545349,0.0006949824,0.0004049524,0.0005376729,0.0004722254,0.002213375,0.002166471,0.001005849,0.001343621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444553,"about_ca_system_score_gemma":0.001228194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722371,"about_ca_topic_score_gemma":0.003186637,"domain_scores_codex":[0.9980806,0.0006678437,0.0001265938,0.0004896771,0.0004961924,0.0001391143],"domain_scores_gemma":[0.9843835,0.008700998,0.00163832,0.002243814,0.00185088,0.001182425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001448982,0.005431901,0.03007308,0.00132979,0.000145739,0.0008114008,0.00756868,0.005242641,0.1558392,0.001294379,0.01404978,0.7767643],"study_design_scores_gemma":[0.004205966,0.03200958,0.236626,0.001251048,0.002064972,0.006524725,0.006482122,0.2255684,0.290762,0.006553473,0.186652,0.001299774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689893,0.0003672193,0.1917958,0.0005439812,0.00008517651,0.000746953,0.0002090246,0.03395406,0.00330846],"genre_scores_gemma":[0.5192466,0.0002239482,0.473334,0.0003324166,0.00004728897,0.0004077745,0.0005661118,0.0007614911,0.005080298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003672924,"threshold_uncertainty_score":0.01337963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008570555688205844,"score_gpt":0.2616667527768001,"score_spread":0.2530961970885942,"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."}}