{"id":"W2745758802","doi":"10.1145/3105726.3106173","title":"RoboBUG","year":2017,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Debugging; Computer science; Confusion; Task (project management); Human–computer interaction; Face (sociological concept); Programming language; Multimedia; Software engineering; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004382202,0.00158397,0.0005995148,0.0009196233,0.0004329632,0.00084763,0.001805373,0.0008418995,0.04964626],"category_scores_gemma":[0.002223751,0.000562397,0.0006473804,0.0002596086,0.0003736716,0.001578281,0.002017825,0.0008666199,0.01558726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039832,"about_ca_system_score_gemma":0.0007513851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003772269,"about_ca_topic_score_gemma":0.006325285,"domain_scores_codex":[0.9995096,0.00006448285,0.00003554038,0.00009300331,0.0002017217,0.00009569729],"domain_scores_gemma":[0.999406,0.0001647789,0.00005361604,0.00008628918,0.0001620167,0.0001272739],"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":[0.003288724,0.0006848141,0.004288337,0.003712671,0.0002083504,0.001204723,0.001427213,0.01123985,0.05287565,0.03843812,0.4119567,0.4706748],"study_design_scores_gemma":[0.0002928771,0.0005159036,0.004683983,0.0003675439,0.00007893384,0.001063635,0.0001570921,0.02576499,0.01744776,0.008133267,0.9413304,0.0001636555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05831167,0.003858589,0.4139872,0.001381383,0.001021484,0.003026035,0.01552083,0.2054817,0.2974111],"genre_scores_gemma":[0.3246298,0.002397071,0.3758018,0.002431721,0.000134744,0.002900126,0.02957918,0.03485791,0.2272677],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04964626,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611003969271973,"score_gpt":0.2924298965014008,"score_spread":0.2663198568086811,"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."}}