{"id":"W2153418524","doi":"10.1109/vlhcc.2006.56","title":"Visual Snippet Editor - Success With Less","year":2006,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Snippet; Computer science; Executable; Task (project management); Programming language; Usability; Java; Human–computer interaction; Software 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":[0.01119586,0.001780981,0.0008386752,0.002083171,0.0008511118,0.004382524,0.004050643,0.002461029,0.04078255],"category_scores_gemma":[0.06518324,0.0009861337,0.001187421,0.001876979,0.0009847366,0.007462371,0.003766664,0.004429339,0.02386177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140862,"about_ca_system_score_gemma":0.001136141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228203,"about_ca_topic_score_gemma":0.002048846,"domain_scores_codex":[0.9878327,0.003417244,0.001156989,0.001700095,0.005530128,0.0003629447],"domain_scores_gemma":[0.9025062,0.05121481,0.003740448,0.02265256,0.01757766,0.00230833],"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":[0.001388232,0.001397318,0.006241986,0.003541573,0.000267355,0.002351747,0.003683921,0.00203092,0.08982772,0.01336589,0.1155234,0.76038],"study_design_scores_gemma":[0.0002942576,0.001522516,0.01345507,0.0008080859,0.0003063599,0.0103535,0.0007842723,0.02002514,0.1712306,0.008793827,0.7719467,0.000479597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08014073,0.003227283,0.6438746,0.005782108,0.002018705,0.001101392,0.002356346,0.163962,0.09753684],"genre_scores_gemma":[0.1969966,0.00244783,0.5838836,0.004178462,0.001159653,0.0007770389,0.006423178,0.05808522,0.1460485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04078255,"threshold_uncertainty_score":0.1364312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006483998828847236,"score_gpt":0.2389947165007551,"score_spread":0.2325107176719078,"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."}}