{"id":"W4323526582","doi":"10.1145/3545947.3576318","title":"Metacognitive Processes and Program Comprehension","year":2022,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Program comprehension; Metacognition; Computer science; Comprehension; Tracing; Cognition; Attribution; Code (set theory); Test (biology); Cognitive psychology; Psychology; Programming language; Artificial intelligence; Mathematics education; Social psychology; Software; Software system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002258599,0.00006047954,0.0000685371,0.0000511454,0.000448553,0.0001443788,0.0002251571,0.000008576793,0.00001673328],"category_scores_gemma":[0.00004163641,0.0000522633,0.00001432328,0.0002915538,0.00002093081,0.0001562215,0.000443977,0.0001901362,0.000004145254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008243406,"about_ca_system_score_gemma":0.00003075022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002707138,"about_ca_topic_score_gemma":0.000001978055,"domain_scores_codex":[0.9992816,0.0001092925,0.00006664448,0.0002325831,0.0001695351,0.0001403049],"domain_scores_gemma":[0.9996929,0.00008635009,0.00003114048,0.0001130006,0.00003515823,0.00004144413],"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":[0.000001937193,0.00008466014,0.0005756576,0.00001290982,0.000007138211,0.000004600766,0.00155103,0.0000446578,0.00001307567,0.003342343,0.0001143522,0.9942476],"study_design_scores_gemma":[0.000569715,0.001195532,0.005612134,0.00001958233,0.00001733731,0.0001445789,0.001734491,0.02831402,0.0002089669,0.0008196823,0.9609549,0.0004090801],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.320313,0.002911309,0.6595713,0.003901918,0.0004822624,0.001049462,0.000001621746,0.005246631,0.006522534],"genre_scores_gemma":[0.8451995,0.000002061998,0.1540962,0.0001659382,0.000009395219,0.00007702136,0.000001709471,0.00000396662,0.0004441707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9938385,"threshold_uncertainty_score":0.3449952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189875913661889,"score_gpt":0.280339547443537,"score_spread":0.2584407883069181,"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."}}