{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009785972,0.0001733345,0.0001821048,0.00008848776,0.0009510625,0.0005083315,0.0005499891,0.0000440618,0.00003548876],"category_scores_gemma":[0.001619741,0.0001555123,0.0000341277,0.0004646995,0.0001078789,0.001961544,0.0004392584,0.0008739629,0.000004223111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007629953,"about_ca_system_score_gemma":0.0002081231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077327,"about_ca_topic_score_gemma":0.000003442834,"domain_scores_codex":[0.9978483,0.0004662118,0.0001970342,0.0005658927,0.0005124551,0.0004101344],"domain_scores_gemma":[0.9982787,0.0009365704,0.0002532858,0.0003302896,0.00006506353,0.0001360352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001416454,0.00009331472,0.001011255,0.000003115014,0.00003036741,0.00008931751,0.1769834,0.0001183651,0.00002312627,0.001415147,0.00009809116,0.8199929],"study_design_scores_gemma":[0.0005657602,0.0007520634,0.0000859983,0.00002178811,0.00001661493,0.000447402,0.07047362,0.000107862,0.0000613805,0.00003344054,0.9271387,0.0002953158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2384177,0.0006890498,0.747427,0.005191973,0.00414434,0.00106224,0.000005721897,0.002039462,0.001022428],"genre_scores_gemma":[0.850406,0.00000512761,0.1483857,0.000551597,0.0001736732,0.0002953549,0.000003279111,0.00001610334,0.0001631905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270406,"threshold_uncertainty_score":0.73149,"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."}}