{"id":"W7132859330","doi":"","title":"Knowledge Translation","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema (genetic algorithms); Domain knowledge; Knowledge base; Knowledge acquisition; Domain (mathematical analysis); Set (abstract data type); Knowledge-based systems; Graph; Subject-matter expert","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003393648,0.0007006012,0.0005864641,0.0004306047,0.0009120171,0.0002243773,0.00179536,0.0003590161,0.002057283],"category_scores_gemma":[0.00004228101,0.0008446506,0.0004077808,0.002478644,0.00007269124,0.0006265416,0.0002103469,0.00152638,0.0002844096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817379,"about_ca_system_score_gemma":0.0003170017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004796404,"about_ca_topic_score_gemma":0.0001984025,"domain_scores_codex":[0.9959981,0.0003954016,0.0006239443,0.001450616,0.0007271665,0.0008047582],"domain_scores_gemma":[0.9973336,0.0005078759,0.0005487307,0.001178997,0.000185626,0.000245096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001940819,0.0003520621,0.000032522,0.000308991,0.0001120786,0.00007584484,0.1467666,0.01189923,0.002122172,0.02009365,0.00317209,0.8148707],"study_design_scores_gemma":[0.001898988,0.0009793976,0.001219757,0.0003907075,0.0002518805,0.0000615887,0.01220189,0.4478016,0.002774494,0.007775953,0.5213154,0.003328343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04646825,0.08361295,0.5836008,0.002782386,0.03706234,0.004443753,0.00002668677,0.001751717,0.2402511],"genre_scores_gemma":[0.7299313,0.004000132,0.03864659,0.0005060833,0.001429516,0.000674611,0.001596331,0.0004155429,0.2227999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8115423,"threshold_uncertainty_score":0.9994004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06459505587284078,"score_gpt":0.3878745420295139,"score_spread":0.3232794861566731,"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."}}