{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006760699,0.0001117161,0.0001337139,0.0004908696,0.00116761,0.00354915,0.001521955,0.00003955719,0.008060086],"category_scores_gemma":[0.000205431,0.0001126709,0.00009300005,0.002689251,0.00007313699,0.0007583831,0.001115341,0.0001612796,0.008197789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007659008,"about_ca_system_score_gemma":0.000006839989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004400054,"about_ca_topic_score_gemma":4.022562e-7,"domain_scores_codex":[0.9984348,0.0002273376,0.0002459701,0.0004301925,0.0004327815,0.0002288688],"domain_scores_gemma":[0.9988804,0.00004112628,0.00004790501,0.000606331,0.0003113003,0.0001128781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003821918,0.0000940181,0.000005974855,0.00004957631,0.0002745389,0.00003105398,0.0008907653,0.0004823362,0.0004483887,0.5385644,0.406764,0.0523911],"study_design_scores_gemma":[0.00009610838,0.00003394794,0.0001565905,0.00001135511,0.0000421988,0.00001720274,0.00004493823,0.1834064,0.0001041548,0.0005168127,0.8154485,0.0001217546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006222888,0.0001403788,0.9255041,0.002307399,0.0001323821,0.0001880206,0.0002393593,0.001720137,0.06914592],"genre_scores_gemma":[0.9721292,0.0002035111,0.005048271,0.00136172,0.0002537461,9.596539e-8,0.008444859,0.0009841389,0.01157451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9715068,"threshold_uncertainty_score":0.9974853,"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."}}