{"id":"W4232172821","doi":"10.32920/ryerson.14636463.v1","title":"Academic Restructuring at Ryerson University: White Paper","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Commission; Mandate; Context (archaeology); Political science; Plan (archaeology); White paper; Management; Public administration; Library science; Sociology; Law; Computer science; History; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004120375,0.0003405808,0.000580051,0.0007419601,0.0005577138,0.0006894053,0.004718367,0.0008354351,0.007543482],"category_scores_gemma":[0.001845964,0.0002595937,0.0003650486,0.00139041,0.0004675575,0.0009480335,0.008723174,0.003029442,0.000747342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004157984,"about_ca_system_score_gemma":0.000664856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002827464,"about_ca_topic_score_gemma":0.0003336702,"domain_scores_codex":[0.9918023,0.0005602335,0.0006673232,0.00197068,0.004214856,0.0007846279],"domain_scores_gemma":[0.9963363,0.0008716244,0.0003512258,0.001505429,0.000403229,0.0005322059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003310449,0.00006356522,0.3200129,0.0001860773,0.0002005019,0.001480053,0.01521764,0.008805471,0.02406044,0.00983547,0.3637463,0.2560606],"study_design_scores_gemma":[0.0008320165,0.00004337489,0.227632,0.0003989969,0.00005093954,0.00006250903,0.02603631,0.008868471,0.005220735,0.03956636,0.6895569,0.001731395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116496,0.0006659013,0.0007369232,0.005262934,0.00125121,0.0002847832,0.00002379828,0.0001137847,0.180011],"genre_scores_gemma":[0.6956764,0.002030856,0.002285491,0.0007857911,0.0004061439,0.000002418227,0.00001654971,0.00002447924,0.2987718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258106,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518811258648143,"score_gpt":0.3994059148564669,"score_spread":0.2475247889916526,"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."}}