{"id":"W4404604248","doi":"10.1007/978-3-031-69449-3_17","title":"Designing Effective Inter-Institutional Collaborations for a Post-Pandemic World","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; Queen's University","funders":"","keywords":"Pandemic; Business; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003230936,0.0001638724,0.0001739279,0.0001883122,0.000505846,0.0001556416,0.0001371535,0.0001515802,0.00154896],"category_scores_gemma":[0.0000896213,0.0001557254,0.0001036192,0.0001224562,0.0001609463,0.0001395283,0.00002653299,0.0001679822,0.0007046657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008551113,"about_ca_system_score_gemma":0.00306736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180736,"about_ca_topic_score_gemma":0.01296243,"domain_scores_codex":[0.9989936,0.00001392218,0.0002193846,0.0003005951,0.0002885536,0.0001838837],"domain_scores_gemma":[0.9989421,0.0003148306,0.00009204391,0.00008710475,0.0004743053,0.00008958812],"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":[0.000009398624,0.000007732769,0.0000326751,0.00001999554,0.0000736171,0.000001529247,0.003877479,0.000002321822,0.00001012699,0.9326515,0.06040135,0.002912282],"study_design_scores_gemma":[0.00009057045,0.00002031239,0.000046613,0.0002235442,0.00004092557,5.501969e-7,0.0003630689,0.000001868788,0.00001560548,0.0533279,0.9456673,0.0002017965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001473667,0.0004283983,0.007452525,0.002627764,0.002010324,0.001198282,0.0001318979,0.0001548211,0.9859812],"genre_scores_gemma":[0.003927934,0.00006835585,0.004395513,0.0007876109,0.0007815596,0.000371049,0.00009193787,0.00002200563,0.989554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8852659,"threshold_uncertainty_score":0.9993638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127957902480769,"score_gpt":0.3296478476788488,"score_spread":0.2983682686540411,"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."}}