{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00503244,0.0003034264,0.0004318906,0.004223891,0.004813826,0.01185169,0.001374789,0.00189068,0.00876555],"category_scores_gemma":[0.009927252,0.0004985137,0.0004310394,0.004457628,0.01431686,0.0138572,0.010537,0.002475666,0.0005279907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006666878,"about_ca_system_score_gemma":0.003446626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005435085,"about_ca_topic_score_gemma":0.007252989,"domain_scores_codex":[0.9937371,0.003940579,0.0001672588,0.0005653065,0.0007270026,0.0008627197],"domain_scores_gemma":[0.9875227,0.008102388,0.001779436,0.0009665398,0.0007347169,0.0008941764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008701749,0.0002141948,0.03996896,0.0003207482,0.00005339542,0.001470294,0.1643085,0.003963998,0.003114762,0.7498968,0.0008853997,0.03571593],"study_design_scores_gemma":[0.00001571777,0.0002318537,0.04327653,0.0003749883,0.00003612542,0.0007283943,0.430908,0.01582988,0.001265064,0.4644192,0.04284972,0.00006449351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7438304,0.001002287,0.08742074,0.007997997,0.00004640366,0.000372582,0.0001458442,0.00009167531,0.1590922],"genre_scores_gemma":[0.9947201,0.0001933712,0.003830221,0.00007223991,0.000006016501,0.00005864814,0.00001632014,0.000008374061,0.001094721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951862,"threshold_uncertainty_score":0.04837185,"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."}}