{"id":"W1956005299","doi":"10.1109/picmet.1999.808271","title":"Management of research and technological innovation","year":2003,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Knowledge management; Parallels; Project management; Technology management; Business; Innovation management; Resource management (computing); Team management; Computer science; Management science; Process management; Management; Engineering; Operations management; Economics","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":[0.002620347,0.00115436,0.001586703,0.003178172,0.001325559,0.007832987,0.001697035,0.002077632,0.3771188],"category_scores_gemma":[0.0109546,0.0003390812,0.0006017353,0.003479867,0.0009217283,0.003423229,0.002918256,0.001568992,0.1728072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00264278,"about_ca_system_score_gemma":0.003701926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031127,"about_ca_topic_score_gemma":0.003076459,"domain_scores_codex":[0.9968568,0.0004253561,0.0005135376,0.0006502157,0.001226243,0.0003278138],"domain_scores_gemma":[0.9925187,0.001642071,0.0008406181,0.0008500759,0.002563398,0.001585214],"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":[0.00007699083,0.00002663067,0.0003157641,0.001615559,0.00001479033,0.00006003667,0.0001281405,0.0002035296,0.0001861279,0.01629564,0.7534432,0.2276334],"study_design_scores_gemma":[0.000008805146,0.00004136328,0.0007749415,0.0006772694,0.000008613891,0.00004100207,0.00006821537,0.00008020277,0.00007787967,0.001703195,0.9965115,0.000007130032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002617644,0.1016375,0.003395402,0.0614581,0.1101388,0.0008073907,0.01324882,0.0009120379,0.7057843],"genre_scores_gemma":[0.02649253,0.06679451,0.002180561,0.005840529,0.02119045,0.0005745496,0.005626843,0.0003270519,0.8709729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3771188,"threshold_uncertainty_score":0.8884644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2049621972645166,"score_gpt":0.3730553048116827,"score_spread":0.1680931075471661,"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."}}