{"id":"W1995844596","doi":"10.1002/spip.204","title":"Multi‐project software engineering analysis using systems thinking","year":2004,"lang":"en","type":"article","venue":"Software Process Improvement and Practice","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Construct (python library); Project management; Architecture; Process management; Engineering management; Systems engineering; Knowledge management; Management science; Engineering; Operations 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003044189,0.0006097299,0.0003456107,0.003515086,0.0007816718,0.002399332,0.0005891108,0.0006572213,0.002406812],"category_scores_gemma":[0.007093042,0.0003726466,0.0008199387,0.001429362,0.001478607,0.002047615,0.001575822,0.0009967749,0.0001491721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189346,"about_ca_system_score_gemma":0.001796145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092423,"about_ca_topic_score_gemma":0.001621925,"domain_scores_codex":[0.9975515,0.001458365,0.000101351,0.0001791284,0.0005617766,0.0001479248],"domain_scores_gemma":[0.9932737,0.005063666,0.0006210891,0.0002901496,0.0005563407,0.0001949572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007689168,0.0003028109,0.01232537,0.0002874326,0.0001782626,0.0004896935,0.001989482,0.5275589,0.0029554,0.3384227,0.001084652,0.1143284],"study_design_scores_gemma":[0.00001549364,0.0000972531,0.001666791,0.00005518664,0.00002016114,0.00008182818,0.0007051948,0.8583851,0.001085414,0.1349713,0.002896283,0.00002002072],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1956839,0.0003627874,0.788875,0.0005214122,0.00003839506,0.0003018577,0.00005061613,0.0002128013,0.01395322],"genre_scores_gemma":[0.7678621,0.0002584452,0.2302971,0.00004132791,0.0000258458,0.0003224528,0.00009014914,0.00002960027,0.001073016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003515086,"threshold_uncertainty_score":0.01609939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858992345188591,"score_gpt":0.3119905925897418,"score_spread":0.2834006691378558,"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."}}