{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805394,0.00007124871,0.00005820919,0.00005427498,0.00006080319,0.0002184293,0.0004620876,0.00004119634,0.000002766819],"category_scores_gemma":[0.00004591549,0.00005284656,0.000011146,0.000279001,0.00002022495,0.0006564223,0.00008288534,0.0002220386,0.0000227486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000374906,"about_ca_system_score_gemma":0.00006298711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009847304,"about_ca_topic_score_gemma":0.00002318158,"domain_scores_codex":[0.9991961,0.00001421478,0.000062805,0.0002493125,0.0002694421,0.0002080904],"domain_scores_gemma":[0.9992182,0.00008476314,0.00002185853,0.0004497182,0.0001198395,0.0001056023],"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":[0.00001229047,0.0001037439,0.004408662,0.0001091916,0.00001429653,0.00003836132,0.0005503083,0.00007595999,0.02223285,0.02442325,0.00001797949,0.9480131],"study_design_scores_gemma":[0.0005204246,0.001197389,0.03714747,0.00006884689,0.000004399647,0.0002134743,0.0002701802,0.8579144,0.1018166,0.00005748292,0.0003628824,0.0004264332],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5824209,9.993939e-7,0.4155696,0.00002796666,0.0001399036,0.0002381524,2.391985e-7,0.001310937,0.000291255],"genre_scores_gemma":[0.7703744,1.899596e-8,0.229453,0.000003329473,0.00004890777,0.00006017325,0.00000150462,0.000007270563,0.00005144001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9475867,"threshold_uncertainty_score":0.215502,"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."}}