{"id":"W6911754595","doi":"10.5281/zenodo.14176549","title":"CoMRAT: Commit Message Rationale Analysis Tool","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Commit; Identification (biology); Key (lock); Information system; Data analysis","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":[0.01621616,0.002651861,0.001031783,0.008075013,0.002076176,0.009238441,0.00379211,0.003132095,0.06671479],"category_scores_gemma":[0.09865957,0.0016508,0.00159823,0.003285825,0.001173659,0.006934867,0.005252584,0.004880516,0.03459486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002236717,"about_ca_system_score_gemma":0.007421049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005196635,"about_ca_topic_score_gemma":0.006691818,"domain_scores_codex":[0.981168,0.005218328,0.002129178,0.001637399,0.008987574,0.0008595027],"domain_scores_gemma":[0.9305742,0.03280663,0.00405086,0.01056801,0.02035581,0.001644608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005049711,0.0001937082,0.001828559,0.001092122,0.00007239563,0.0003240683,0.001193686,0.002170732,0.003433898,0.03499212,0.7792144,0.1749794],"study_design_scores_gemma":[0.0003129107,0.0001265945,0.001024568,0.0007053675,0.00008011028,0.0004452454,0.000691779,0.03647482,0.01692647,0.03810507,0.9048696,0.0002374744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003694594,0.0003168081,0.5021284,0.003383382,0.001951931,0.002030008,0.03075389,0.42797,0.02777104],"genre_scores_gemma":[0.07367818,0.0004687916,0.6099179,0.002965158,0.001018979,0.003830978,0.1055851,0.1401321,0.06240282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06671479,"threshold_uncertainty_score":0.2231832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032913863773703,"score_gpt":0.2824120865856222,"score_spread":0.2420829479478852,"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."}}