{"id":"W3005251892","doi":"","title":"Understanding quadruple helix relationships of university technologycommercialisation: a micro level approach","year":2016,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Stakeholder; Process (computing); Salience (neuroscience); Through-the-lens metering; Knowledge management; Business; Political science; Engineering; Public relations; Computer science; Lens (geology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516041,0.0002152248,0.0002766596,0.001821419,0.001116334,0.00005720488,0.000809546,0.0004677809,0.0005272338],"category_scores_gemma":[0.0002945201,0.000226995,0.0001179922,0.002920271,0.0006668482,0.002383552,0.0008146963,0.0008783587,0.00009477107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009917929,"about_ca_system_score_gemma":0.0002172744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380289,"about_ca_topic_score_gemma":0.00008789959,"domain_scores_codex":[0.9975258,0.0001802812,0.000248955,0.0005253119,0.0009501841,0.0005694802],"domain_scores_gemma":[0.9981437,0.0002805018,0.0003368606,0.0004937305,0.0006893876,0.00005586226],"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":[0.0002999399,0.0002735801,0.1163013,0.00009949404,0.0001257954,0.0001163589,0.0001212881,0.0000588544,0.001663815,0.8634272,0.01730518,0.0002072987],"study_design_scores_gemma":[0.01957205,0.0003530357,0.2168037,0.001187701,0.0006545254,0.00002995245,0.2174449,0.001780643,0.004281817,0.03118189,0.5028528,0.003857048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5876307,0.00000453073,0.1782195,0.02154147,0.0001778153,0.001199327,0.0002558651,0.0004813349,0.2104895],"genre_scores_gemma":[0.9832892,0.00001754323,0.001107414,0.00004746071,0.0001161259,3.359334e-7,0.0000565726,0.00002331911,0.01534202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8322452,"threshold_uncertainty_score":0.9256589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1909187537396899,"score_gpt":0.27632988326315,"score_spread":0.08541112952346011,"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."}}