{"id":"W4412795482","doi":"10.1007/978-3-031-94913-5_13","title":"Gaining Support Within Universities for Collaboration","year":2025,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Knowledge management; Business; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01359188,0.0004824867,0.0006802224,0.002470851,0.0140833,0.02524008,0.002721081,0.006363987,0.06719177],"category_scores_gemma":[0.04300068,0.0004864304,0.0006168184,0.004623975,0.005557472,0.02365305,0.03316925,0.004977537,0.01559041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00579121,"about_ca_system_score_gemma":0.02251709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004099211,"about_ca_topic_score_gemma":0.00857335,"domain_scores_codex":[0.9828417,0.007444009,0.0005917474,0.00111552,0.003126121,0.004880783],"domain_scores_gemma":[0.9473968,0.01079357,0.00296667,0.005947511,0.006122014,0.02677342],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002545123,0.0004739133,0.01172118,0.0002078198,0.00004987609,0.001026292,0.0509457,0.0004564899,0.001977892,0.3926605,0.1568685,0.3833573],"study_design_scores_gemma":[0.00008483778,0.0002299915,0.008210047,0.0005739632,0.0000361075,0.000384436,0.05758389,0.001043564,0.001015821,0.1065135,0.8242642,0.00005969892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1009126,0.002744167,0.01033452,0.1016405,0.002130325,0.0002050995,0.0001552199,0.0005484342,0.7813291],"genre_scores_gemma":[0.8881527,0.0009660292,0.004943693,0.004768209,0.0008684514,0.0001461266,0.0001356542,0.0002252094,0.09979399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9864081,"threshold_uncertainty_score":0.2247789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08345669415051293,"score_gpt":0.4611351329117455,"score_spread":0.3776784387612326,"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."}}