{"id":"W2020316880","doi":"10.1145/1039174.1039188","title":"Report on MSR 2004","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Presentation (obstetrics); Session (web analytics); Computer science; Software; Reuse; Process (computing); Software engineering; Software development; World Wide Web; Data science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004126253,0.001256471,0.001182846,0.003539702,0.00180196,0.006925137,0.002417157,0.002634034,0.5287401],"category_scores_gemma":[0.008961292,0.0004186799,0.001061189,0.002580006,0.0003839665,0.002964103,0.003159067,0.002021038,0.5497857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053225,"about_ca_system_score_gemma":0.00338687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029149,"about_ca_topic_score_gemma":0.005304996,"domain_scores_codex":[0.9961637,0.0004911877,0.0002939128,0.0005821413,0.002026867,0.0004422201],"domain_scores_gemma":[0.992607,0.0004746372,0.0002671711,0.001045231,0.00418386,0.00142217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001767527,0.00006548233,0.0002889657,0.0001415333,0.000007829323,0.00007468132,0.00004935654,0.00005652439,0.0004800113,0.001772979,0.9466002,0.05028565],"study_design_scores_gemma":[0.00001204737,0.00003687268,0.0004285227,0.00004170296,0.000002997235,0.0000249297,0.000033215,0.00002943351,0.0002161584,0.0002327318,0.998937,0.000004325281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004660682,0.008024884,0.003703496,0.02571961,0.05053924,0.001427892,0.05264387,0.006454008,0.8468265],"genre_scores_gemma":[0.006029316,0.002258188,0.001378822,0.002801194,0.003688503,0.0002997166,0.02359332,0.00114001,0.958811],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5287401,"threshold_uncertainty_score":0.672195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739211010709344,"score_gpt":0.2603353913010394,"score_spread":0.242943281193946,"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."}}