{"id":"W2163599520","doi":"10.1145/1281421.1281443","title":"Architectural knowledge and rationale","year":2007,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Design Education and Practice","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reuse; Architecture; Computer science; Software engineering; Architectural design; Engineering; Knowledge management; Engineering management","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002556604,0.0001686513,0.0001182673,0.0001458972,0.0000541842,0.00004397052,0.0001463917,0.00007137176,0.00006996169],"category_scores_gemma":[0.02607497,0.0001818242,0.00003082295,0.0001962366,0.00001725306,0.0001794921,0.00003738844,0.0002110788,0.0000782581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000382787,"about_ca_system_score_gemma":0.00001677631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004433762,"about_ca_topic_score_gemma":0.000007052178,"domain_scores_codex":[0.9993104,0.000007615608,0.0001754781,0.0001464771,0.00009567598,0.000264377],"domain_scores_gemma":[0.9742589,0.02531436,0.00001700331,0.0002371978,0.00003984027,0.0001326731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006005308,0.000173717,0.2586347,0.001277868,0.0003036332,0.000049139,0.01083486,0.03138702,0.05070038,0.003641495,0.00989963,0.6330376],"study_design_scores_gemma":[0.0006280574,0.00005850294,0.8157817,0.0001060336,0.00004975577,0.0002495783,0.00007521392,0.002230528,0.02118385,0.0001979655,0.1583891,0.001049752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986654,0.003729934,0.09400962,0.0001676144,0.001252685,0.00021475,0.000008660137,0.001763281,0.0001880957],"genre_scores_gemma":[0.9647577,0.00002756164,0.03472857,0.00005197488,0.0002494476,0.00001208266,0.00001672657,0.00004612332,0.0001098196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6319878,"threshold_uncertainty_score":0.9821288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676527167195552,"score_gpt":0.2541623999534139,"score_spread":0.2373971282814584,"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."}}