{"id":"W4393899999","doi":"10.1017/cts.2024.119","title":"122 Evaluating the impact of the Translational Research Program at the University of Toronto","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical and Translational Science","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Translational research; Sociology; Library science; Computer science; Medicine","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":[0.04717464,0.0003785024,0.0004963001,0.001347407,0.005932512,0.006750867,0.001938181,0.0009930198,0.01303555],"category_scores_gemma":[0.08666962,0.0003567224,0.0007245427,0.001537107,0.003047832,0.001329328,0.006999489,0.002115238,0.001565336],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06387842,"about_ca_system_score_gemma":0.2116217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4298158,"about_ca_topic_score_gemma":0.7160607,"domain_scores_codex":[0.9488779,0.01984002,0.001707184,0.001173227,0.02004903,0.008352641],"domain_scores_gemma":[0.8318511,0.02163462,0.00821155,0.005720413,0.05164171,0.0809407],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001031823,0.001845984,0.4121082,0.002741476,0.0003574127,0.0005906912,0.01628315,0.001072723,0.002025211,0.007284477,0.2214293,0.3332296],"study_design_scores_gemma":[0.000213612,0.002676798,0.8238636,0.002670946,0.0002984759,0.0001512236,0.03075589,0.0006939237,0.001275985,0.000863048,0.1364384,0.0000981562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7212827,0.006763847,0.002009492,0.1181624,0.003313293,0.003148854,0.003869203,0.0004499975,0.1410002],"genre_scores_gemma":[0.972567,0.003076904,0.003365868,0.006887917,0.0006107244,0.0005791044,0.001247057,0.00006161974,0.01160379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9528254,"threshold_uncertainty_score":0.8546279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.558338113627555,"score_gpt":0.6667850972302403,"score_spread":0.1084469836026852,"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."}}