{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007172636,0.00008819085,0.00009509668,0.0002634097,0.0001563425,0.00003733326,0.0001010276,0.00009114455,0.0001092423],"category_scores_gemma":[0.0002615111,0.00009088783,0.0000206386,0.001827482,0.0001206445,0.0003406917,0.0001912757,0.0001106628,0.00001505345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258886,"about_ca_system_score_gemma":0.0001134383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003045364,"about_ca_topic_score_gemma":0.0003039118,"domain_scores_codex":[0.9991036,0.00003409081,0.0001701193,0.0002785581,0.0001202218,0.0002934169],"domain_scores_gemma":[0.9995781,0.000123115,0.00001779987,0.0001535091,0.0000954011,0.00003204106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003887163,0.0002573126,0.1536013,0.0008028271,0.00001908297,0.0001506611,0.01694296,0.005542228,0.000044737,0.6756609,0.01685674,0.1297326],"study_design_scores_gemma":[0.0009493083,0.00008263065,0.6648931,0.00001836922,0.00001037708,0.000001315062,0.1039878,0.00121124,0.00007902392,0.136733,0.09180024,0.0002335576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885947,0.00001080922,0.001486249,0.001022382,0.00003107583,0.0006923195,0.000001758802,0.00005980084,0.00810088],"genre_scores_gemma":[0.987522,0.000002289063,0.00009989266,0.00007277517,0.000007865833,0.00005393926,0.000007955831,0.000006948082,0.01222632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5389279,"threshold_uncertainty_score":0.3706298,"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."}}