{"id":"W6967893722","doi":"10.5281/zenodo.14748996","title":"Replication Package for `Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories`","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Code review; Program comprehension; Comprehension; Code (set theory); Static program analysis; Construct (python library); Source code; Software","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1497179,0.001805808,0.002380831,0.006085659,0.004435723,0.00560318,0.005984694,0.003418202,0.09073239],"category_scores_gemma":[0.7000397,0.002000142,0.004261507,0.007967032,0.005322482,0.006270957,0.007011799,0.006835444,0.02174005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005520588,"about_ca_system_score_gemma":0.01308218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007427015,"about_ca_topic_score_gemma":0.005944554,"domain_scores_codex":[0.8303952,0.09721868,0.01791158,0.01142673,0.03985108,0.003196668],"domain_scores_gemma":[0.2588164,0.3223616,0.02263038,0.181987,0.2115145,0.002690234],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008218601,0.003142557,0.02226143,0.01985599,0.002067865,0.00110076,0.03614656,0.004857369,0.01113228,0.03970193,0.4552299,0.3962848],"study_design_scores_gemma":[0.01089923,0.005183584,0.1358397,0.02627424,0.001870161,0.0009292745,0.01800319,0.0233429,0.02240597,0.05452307,0.6992446,0.001484248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1116973,0.0018518,0.4158082,0.02120986,0.03933425,0.2330015,0.05270699,0.01690758,0.1074824],"genre_scores_gemma":[0.2437236,0.0005432997,0.226153,0.005148965,0.001127991,0.4877954,0.009437745,0.004941345,0.02112868],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8502821,"threshold_uncertainty_score":0.7917932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531193450008962,"score_gpt":0.3141326251678517,"score_spread":0.2588206906677621,"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."}}