{"id":"W4237799823","doi":"10.21236/ada512354","title":"People Capability Maturity Model (P-CMM) Version 2.0, Second Edition","year":2009,"lang":"en","type":"report","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada)","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Australian Government; Society for Sedimentary Geology; Carnegie Mellon University; U.S. Department of Defense","keywords":"Maturity (psychological); Capability Maturity Model; Computer science; Programming language; Psychology; Developmental psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001456758,0.0004814478,0.0007385752,0.0004491455,0.0002639781,0.0002270633,0.0003952858,0.0004833285,0.006791929],"category_scores_gemma":[0.0006044034,0.000458081,0.0004424635,0.0005506458,0.00005785122,0.001641597,0.0002569906,0.0006062458,0.0006874288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004348115,"about_ca_system_score_gemma":0.0001749611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007272162,"about_ca_topic_score_gemma":0.002080091,"domain_scores_codex":[0.9971938,0.00002131538,0.0005865102,0.0008225527,0.0009618643,0.0004139975],"domain_scores_gemma":[0.9974257,0.00007179568,0.0007008477,0.0008668316,0.0009107583,0.00002402814],"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":[0.0001400383,0.0003967029,0.0006011652,0.002300339,0.0001927184,0.00002003931,0.00003858927,0.0149361,0.000179608,0.007674682,0.9689416,0.004578428],"study_design_scores_gemma":[0.0005459903,0.00001450338,0.001800152,0.0002515801,0.001105532,0.000009392706,0.0001633174,0.1586196,0.00009889257,0.255766,0.5799592,0.001665854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03669558,0.0001694795,0.01110652,0.000647983,0.001714729,0.0005915985,0.00008602188,0.000907563,0.9480805],"genre_scores_gemma":[0.8991604,0.0001753354,0.00197538,0.00246899,0.01022919,0.00004701337,0.003972713,0.0001645015,0.08180644],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8662741,"threshold_uncertainty_score":0.9997871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663157399608042,"score_gpt":0.2497218202334658,"score_spread":0.2330902462373854,"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."}}