{"id":"W388495078","doi":"","title":"Proceedings of the 23rd International Conference on Software Engineering, May 12-19, 2001, Toronto, Ontario, Canada","year":2001,"lang":"en","type":"book","venue":"IEEE Computer Society eBooks","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software engineering; Software development; Component-based software engineering; Social software engineering; Subject (documents); Software; Computer science; Software requirements; Component (thermodynamics); Software construction; Engineering; Systems engineering; Engineering management; Library science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001360863,0.0004423295,0.0005209059,0.00006473768,0.0002231871,0.0006073135,0.004143185,0.0002143195,0.0007604589],"category_scores_gemma":[0.0001118721,0.0003254814,0.0004903689,0.00007821538,0.0001543123,0.0001224246,0.001136574,0.0005344197,0.00001832372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002196865,"about_ca_system_score_gemma":0.002531251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2622108,"about_ca_topic_score_gemma":0.657378,"domain_scores_codex":[0.9944156,0.00001931003,0.0008771704,0.001156788,0.003079101,0.0004520217],"domain_scores_gemma":[0.9970622,0.0003112232,0.0007132448,0.00103163,0.0006893392,0.0001923273],"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":[0.000005168558,0.00001802861,0.0002907244,0.00002104833,0.0001165365,0.000003972018,0.0008899933,0.0004246142,0.000002663351,0.002492228,0.9889386,0.006796425],"study_design_scores_gemma":[0.0002518684,0.00003988927,0.0008250982,0.0002868875,0.00002865917,0.000009653178,0.00009268579,0.0121764,0.00001986462,0.0008942335,0.9850098,0.000364881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002505327,0.00004935496,0.02111895,0.0006375856,0.03484433,0.001145464,0.0003826471,0.0002262147,0.9390901],"genre_scores_gemma":[0.001390589,0.000005820246,0.007663272,0.001314209,0.000852213,0.00001253174,0.00002816844,0.00003232999,0.9887009],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3951672,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07546060413292488,"score_gpt":0.2840055286698338,"score_spread":0.2085449245369089,"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."}}