{"id":"W4389441334","doi":"10.21203/rs.3.rs-3697943/v1","title":"Prophecy and promise: Sociotechnical imaginaries in academic medicine strategic planning","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociotechnical system; Framing (construction); Health care; Transformative learning; Strategic planning; Vision; Sociology; Public relations; Engineering ethics; Political science; Knowledge management; Engineering; Business; Pedagogy; Computer science; Marketing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0470514,0.0007208713,0.0004358501,0.006160187,0.01336214,0.01908763,0.001878761,0.002856994,0.003187064],"category_scores_gemma":[0.04009306,0.0006034421,0.0005532933,0.003816669,0.1074232,0.01623596,0.01213383,0.005426104,0.0003240906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532405,"about_ca_system_score_gemma":0.017259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007488246,"about_ca_topic_score_gemma":0.008670021,"domain_scores_codex":[0.9517643,0.04138749,0.0009168879,0.001207209,0.003144115,0.001580046],"domain_scores_gemma":[0.919941,0.06358522,0.005661713,0.003963705,0.003469505,0.003378875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002539831,0.00004825354,0.003961812,0.0001094866,0.00001049766,0.0004437683,0.5632821,0.000541208,0.0001995405,0.4183927,0.001265785,0.01171955],"study_design_scores_gemma":[0.00001459133,0.00004236006,0.002450134,0.0003314391,0.000007398008,0.0002421799,0.7614298,0.001283745,0.0002835972,0.1936052,0.04027243,0.00003719223],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992531,0.002999217,0.07293486,0.08152064,0.0003441967,0.0003688396,0.00009107927,0.0001067603,0.2423812],"genre_scores_gemma":[0.9940196,0.0002817566,0.004120546,0.0004652677,0.00002069269,0.00005264717,0.00001368956,0.00001358361,0.001012226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9866379,"threshold_uncertainty_score":0.2488346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6072851954332528,"score_gpt":0.616681607968817,"score_spread":0.009396412535564225,"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."}}