{"id":"W3123537581","doi":"","title":"Triple Helix Networks in a Multicultural Context: Triggers and Barriers for Fostering Growth and Sustainabilty","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Triple helix; Context (archaeology); Entrepreneurship; Normative; Government (linguistics); Political science; Perspective (graphical); Empirical research; Sociology; Geography; Epistemology; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004420676,0.0002471223,0.0002771832,0.001513538,0.007434102,0.008406953,0.0008636675,0.001491977,0.006990751],"category_scores_gemma":[0.01008798,0.0002397166,0.0002841187,0.001110119,0.007531798,0.005976182,0.009360681,0.001201968,0.0003916518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003527065,"about_ca_system_score_gemma":0.003370903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791641,"about_ca_topic_score_gemma":0.005103766,"domain_scores_codex":[0.9969246,0.001611393,0.00008446421,0.0003327889,0.0003023312,0.0007443781],"domain_scores_gemma":[0.9895523,0.004634045,0.002033213,0.0006673129,0.0006908817,0.002422246],"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":[0.0002986656,0.0004653611,0.1010429,0.0003148437,0.00004309565,0.004526721,0.2347116,0.00180177,0.003631829,0.567389,0.002653129,0.08312109],"study_design_scores_gemma":[0.00005041864,0.000338445,0.07872494,0.000390404,0.00005843953,0.001592701,0.5083832,0.005963504,0.002037758,0.326274,0.07610993,0.00007615739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953305,0.0003959216,0.004853513,0.003997126,0.00004880964,0.00006130034,0.0000163944,0.00001880817,0.09527756],"genre_scores_gemma":[0.9983906,0.00009755314,0.0005303476,0.00006248112,0.000008099221,0.00001347832,0.000003993386,0.000002639825,0.0008908818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008406953,"threshold_uncertainty_score":0.02559072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362442562916111,"score_gpt":0.2096472951750986,"score_spread":0.1960228695459375,"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."}}