{"id":"W1943584020","doi":"10.1111/j.1467-9310.2008.00535.x","title":"Using R&D portfolio management to deal with dynamic risk","year":2008,"lang":"en","type":"article","venue":"R and D Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Portfolio; Modern portfolio theory; Project portfolio management; Risk management; Variety (cybernetics); Commit; Dynamic capabilities; Contingency theory; Contingency; Risk analysis (engineering); Knowledge management; Computer science; Management science; Economics; Business; Project management; Artificial intelligence; Management; Financial 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":[],"consensus_categories":[],"category_scores_codex":[0.01021345,0.0008123082,0.0005372595,0.003513266,0.0009964757,0.006824986,0.001512541,0.001501342,0.002497692],"category_scores_gemma":[0.02011712,0.0004319097,0.0007645688,0.004158605,0.002439518,0.006427143,0.003532356,0.001578626,0.0004786484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468792,"about_ca_system_score_gemma":0.003429935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191305,"about_ca_topic_score_gemma":0.001859439,"domain_scores_codex":[0.9930623,0.003819954,0.000465272,0.0009249099,0.001345434,0.0003821415],"domain_scores_gemma":[0.9873307,0.005748035,0.00363456,0.001747523,0.0009343249,0.000604999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004755023,0.0002381706,0.04304383,0.0002092675,0.0001957481,0.000355577,0.001956069,0.07209136,0.001511702,0.4005751,0.002215866,0.4775597],"study_design_scores_gemma":[0.00004981544,0.0002467891,0.01554107,0.0002497079,0.00009509651,0.0004767098,0.001639946,0.21899,0.003070273,0.725891,0.033638,0.0001116452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09532007,0.002162967,0.8544641,0.00627124,0.00009525853,0.0002920219,0.00008664741,0.0003749623,0.04093268],"genre_scores_gemma":[0.7331385,0.0009896216,0.2622661,0.0003147413,0.00007872104,0.0002022928,0.00006822492,0.00003186198,0.002909882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01021345,"threshold_uncertainty_score":0.0540145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862520395429907,"score_gpt":0.24910224102504,"score_spread":0.2204770370707409,"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."}}