{"id":"W4384822319","doi":"10.3390/su151411175","title":"Knowledge Transfer and Innovation: Universities as Catalysts for Sustainable Decision Making in Industry","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sustainability; Knowledge transfer; Dissemination; Business; Value (mathematics); Knowledge management; Decision maker; Marketing; Environmental resource management; Engineering; Computer science; Economics; Management science","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":[],"consensus_categories":[],"category_scores_codex":[0.008154532,0.0003802233,0.0003595302,0.00221577,0.005118522,0.01196433,0.001432914,0.004453474,0.008780059],"category_scores_gemma":[0.01190775,0.0003008847,0.0006298628,0.001704584,0.01043124,0.01132122,0.009410602,0.001702624,0.0006098409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008750764,"about_ca_system_score_gemma":0.00826899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683751,"about_ca_topic_score_gemma":0.00361246,"domain_scores_codex":[0.9938871,0.004201124,0.00009980548,0.0003399698,0.0005009605,0.0009711262],"domain_scores_gemma":[0.9894952,0.007090748,0.0008375301,0.0007888897,0.0006795844,0.00110805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002619322,0.0005697163,0.01686673,0.0001850461,0.00004627162,0.0007577965,0.01204483,0.01959839,0.001321036,0.8761423,0.001981098,0.07022482],"study_design_scores_gemma":[0.0001114988,0.0004050419,0.006243123,0.0004357418,0.00006717349,0.0002528929,0.04191209,0.05490654,0.00402791,0.8529283,0.03861624,0.00009341551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5792677,0.002117957,0.0510875,0.02934798,0.0001550183,0.0001958287,0.00003889004,0.0001345746,0.3376544],"genre_scores_gemma":[0.9964319,0.0002117504,0.001569006,0.0001127128,0.00001223219,0.00002758607,0.000003140695,0.000003788633,0.001627819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196433,"threshold_uncertainty_score":0.06349152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502060966464741,"score_gpt":0.3048061146485317,"score_spread":0.2897855049838843,"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."}}