{"id":"W2087639512","doi":"10.1002/pmj.20165","title":"Measuring Portfolio Strategic Performance Using Key Performance Indicators","year":2010,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Portfolio; Key (lock); Performance indicator; Process management; Application portfolio management; Performance measurement; Project portfolio management; Risk analysis (engineering); Business; Computer science; Management science; Systems engineering; Engineering; Project management; Finance; Marketing","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062252,0.0004183063,0.0004162785,0.003558239,0.001339995,0.001559116,0.001835353,0.0001257559,0.00191429],"category_scores_gemma":[0.00009465106,0.0003287922,0.0002274928,0.003288589,0.0002086164,0.002218294,0.0005198328,0.001256515,0.0003662627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107762,"about_ca_system_score_gemma":0.0002326585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001212505,"about_ca_topic_score_gemma":0.00001195512,"domain_scores_codex":[0.9941812,0.0001391804,0.001381685,0.0007013212,0.00273095,0.0008657159],"domain_scores_gemma":[0.9975048,0.00007457793,0.001007344,0.0008674003,0.0003260005,0.0002198635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002083279,0.0001766592,0.4637192,0.0001692043,0.00028742,0.00010526,0.0007383626,0.0008617592,0.0006867161,0.007215547,0.002902566,0.522929],"study_design_scores_gemma":[0.006562765,0.0008356923,0.2506929,0.0005180036,0.0006183145,0.0042044,0.008490475,0.223809,0.003529821,0.01378481,0.4830898,0.003864015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8280126,0.00005024102,0.0005216975,0.00006651226,0.002696244,0.0004692166,0.000001720351,0.00009556201,0.1680862],"genre_scores_gemma":[0.9868734,0.0005287281,0.00660295,0.0001176907,0.0006150311,0.00002168368,0.000002242693,0.00003647499,0.005201798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.519065,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1714404290790101,"score_gpt":0.3528243306711267,"score_spread":0.1813839015921166,"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."}}