{"id":"W4308932920","doi":"10.1002/spe.3167","title":"Training industrial end‐user programmers with interactive tutorials","year":2022,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada; ABB Corporate Research","keywords":"Computer science; Block (permutation group theory); Multimedia; End user; Software; Robot; Robotics; Human–computer interaction; Training (meteorology); Software engineering; Programming by demonstration; Artificial intelligence; World Wide Web; Programming language","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":[0.002467645,0.0008422807,0.000466944,0.00071173,0.0004591205,0.000846046,0.001343145,0.0006806718,0.01100935],"category_scores_gemma":[0.01681764,0.0002907343,0.0002307407,0.0004090776,0.000373729,0.0009993935,0.002026688,0.0007965075,0.003108385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104034,"about_ca_system_score_gemma":0.0006265535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006642463,"about_ca_topic_score_gemma":0.00139407,"domain_scores_codex":[0.9981726,0.0009488187,0.00008907969,0.0002610506,0.0002670489,0.000261288],"domain_scores_gemma":[0.986917,0.007676439,0.0008571486,0.001030849,0.001534311,0.001984288],"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":[0.002306078,0.02539478,0.07141186,0.001909508,0.00007264289,0.001580567,0.03694909,0.007203731,0.05797005,0.00100771,0.0237013,0.7704927],"study_design_scores_gemma":[0.00235135,0.05592785,0.4135875,0.002043354,0.000425247,0.01038166,0.05505732,0.06738795,0.1422317,0.005023848,0.2449505,0.000631851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719393,0.0001407235,0.01851924,0.0001315796,0.00002486685,0.0004672224,0.0001176082,0.001547951,0.007111344],"genre_scores_gemma":[0.953071,0.0001960629,0.03870912,0.0001893821,0.00001933211,0.0005937571,0.0003645141,0.0001579434,0.006698797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01100935,"threshold_uncertainty_score":0.03683001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558590685991021,"score_gpt":0.3072597517571726,"score_spread":0.2616738448972624,"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."}}