{"id":"W2033739705","doi":"10.1787/hemp-24-5k9bdtj6b0r6","title":"Strategic planning for academic research","year":2012,"lang":"en","type":"article","venue":"Higher Education Management","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Strategic planning; Scope (computer science); Institutional research; Higher education; Administration (probate law); Public relations; Strategic human resource planning; Empirical research; Sociology; Political science; Management; Business; Marketing; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01279652,0.0001123078,0.0001335806,0.0008379461,0.000504137,0.0003493563,0.001412999,0.00008574977,0.001117425],"category_scores_gemma":[0.0002229947,0.00008413177,0.00006338442,0.001701638,0.0001655027,0.0008059103,0.0002349883,0.000426308,0.001585929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382186,"about_ca_system_score_gemma":0.0001518943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001196949,"about_ca_topic_score_gemma":2.917847e-7,"domain_scores_codex":[0.9954647,0.0002811383,0.0004518974,0.0004884164,0.002455491,0.0008583754],"domain_scores_gemma":[0.9977942,0.0008566162,0.0001151492,0.0005407648,0.0003583074,0.0003350045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001552772,0.00009973855,0.01703844,0.00002172063,0.000008795916,4.076375e-7,0.000644715,0.00004400207,0.0001703463,0.524707,0.4380499,0.01919944],"study_design_scores_gemma":[0.0001128523,0.00001977702,0.106108,0.0000202914,0.000004263682,7.836339e-7,0.004675025,0.00006377066,0.00006724757,0.1696718,0.7191554,0.0001007574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3069736,0.004098414,0.001465439,0.01519325,0.0058617,0.00191353,0.000006523136,0.00009319732,0.6643943],"genre_scores_gemma":[0.8012258,0.0000485831,0.00158819,0.0004932586,0.001065383,0.0002922291,0.000005662672,0.00001014835,0.1952708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4942521,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.681703380796384,"score_gpt":0.6235035541485958,"score_spread":0.05819982664778822,"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."}}