{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002312497,0.0003528397,0.0001702822,0.0009381326,0.0003733455,0.001637082,0.0003993113,0.0005009701,0.001335477],"category_scores_gemma":[0.04046015,0.0002612107,0.0001471758,0.0004204225,0.001247554,0.001930693,0.001070323,0.001003504,0.0001622104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482369,"about_ca_system_score_gemma":0.0005797045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076707,"about_ca_topic_score_gemma":0.000875844,"domain_scores_codex":[0.9978679,0.001077383,0.0000882325,0.0003048375,0.0005286867,0.0001329207],"domain_scores_gemma":[0.9614468,0.02853676,0.006081075,0.00197791,0.001317209,0.0006402829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001332981,0.002426494,0.5323923,0.0004435563,0.0002295434,0.0005881274,0.03726439,0.004568657,0.03357214,0.01311426,0.0005962342,0.3734713],"study_design_scores_gemma":[0.0001252855,0.001751916,0.9193726,0.0002823943,0.0001556789,0.001255312,0.006958827,0.01365805,0.0193291,0.03316112,0.003849078,0.0001006693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930807,0.0002430827,0.002554193,0.0001146364,0.000005113016,0.00001177435,0.0000118838,0.00002525762,0.003953476],"genre_scores_gemma":[0.9986542,0.00008364359,0.0008919729,0.00001875356,0.000003802605,0.00001131567,0.00001515989,0.000005388185,0.0003157432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002312497,"threshold_uncertainty_score":0.0122298,"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."}}