{"id":"W1965082893","doi":"10.1111/1467-9310.00184","title":"From R&amp;D to strategic knowledge management: transitions and challenges for national laboratories","year":2000,"lang":"en","type":"article","venue":"R and D Management","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Strategic management; Political science; Competition (biology); Context (archaeology); Knowledge management; Coping (psychology); Business; Public relations; Management; Marketing; Psychology; Economics; Geography; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02316462,0.0002387966,0.000509645,0.001213898,0.01559971,0.03440248,0.002521278,0.01168252,0.004788918],"category_scores_gemma":[0.02285626,0.0002686521,0.0006350708,0.002285333,0.02665488,0.03063867,0.01184756,0.01709546,0.0007792172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02736973,"about_ca_system_score_gemma":0.05831545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03188139,"about_ca_topic_score_gemma":0.05122444,"domain_scores_codex":[0.9826342,0.007754406,0.0008702414,0.001110906,0.003960852,0.003669427],"domain_scores_gemma":[0.9689277,0.01181694,0.001961367,0.001273584,0.006854351,0.009166027],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000100866,0.0001756175,0.002130159,0.0004873242,0.00001294882,0.001029696,0.02146447,0.0006379042,0.0005932322,0.7846106,0.07980034,0.1089568],"study_design_scores_gemma":[0.0000346551,0.0001415602,0.004296075,0.001069801,0.00001078805,0.0006737254,0.1420901,0.0007980988,0.0006292101,0.2450662,0.6050481,0.0001417826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01835605,0.01259044,0.001658661,0.9366026,0.001659873,0.00001937128,0.00002237413,0.00004328425,0.02904726],"genre_scores_gemma":[0.7801369,0.02212626,0.006856875,0.1698277,0.002338193,0.0001195612,0.00005543485,0.00008339926,0.01845567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9768354,"threshold_uncertainty_score":0.1985823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07403067204893224,"score_gpt":0.2838599313951231,"score_spread":0.2098292593461908,"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."}}