{"id":"W4307886379","doi":"10.1145/3563296","title":"Can guided decomposition help end-users write larger block-based programs? a mobile robot experiment","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Decomposition; Block (permutation group theory); Domain (mathematical analysis); Human–computer interaction; 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":[0.0007208063,0.0002990261,0.0002925531,0.0001891726,0.000630756,0.0003679263,0.003607191,0.00005432261,0.00002121242],"category_scores_gemma":[0.0001265888,0.0002368221,0.0002301289,0.0008073768,0.00007905837,0.0001892016,0.002296138,0.0003320298,0.00000247362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932234,"about_ca_system_score_gemma":0.00006630026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001999224,"about_ca_topic_score_gemma":0.000005014244,"domain_scores_codex":[0.9974151,0.00004028147,0.0004233157,0.0006450452,0.000855055,0.0006211716],"domain_scores_gemma":[0.9983886,0.00007711175,0.0003990481,0.0008499828,0.0001692426,0.0001160097],"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":[0.0002257088,0.004653183,0.04387407,0.0006389694,0.0004231126,0.00006269634,0.03592664,0.0103271,0.2069476,0.01479154,0.007820339,0.6743091],"study_design_scores_gemma":[0.004064694,0.004399686,0.003919124,0.0008657873,0.0001757596,0.000277175,0.0148361,0.02599984,0.9001467,0.001794645,0.04125415,0.002266363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924513,0.0004404559,0.000256521,0.004052675,0.0004068555,0.001344859,0.000005638249,0.0006484939,0.0003932682],"genre_scores_gemma":[0.9292551,0.000001887667,0.06928625,0.0005091505,0.00008759586,0.0007205991,0.000007524472,0.00003636927,0.00009556567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6931991,"threshold_uncertainty_score":0.9657327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884490930995728,"score_gpt":0.2837958892846623,"score_spread":0.264950979974705,"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."}}