{"id":"W4285464615","doi":"10.32920/ryerson.14669205","title":"Modelling Innovation Support Systems for Development","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Typology; Conceptualization; Knowledge management; Framing (construction); Cluster analysis; Regional science; Biplot; Business; Computer science; Data science; Geography; Artificial intelligence","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":[0.0008320509,0.0006464629,0.000531065,0.001691797,0.0006983089,0.003291596,0.001115599,0.001826397,0.0116233],"category_scores_gemma":[0.003990489,0.0004158665,0.001124002,0.002094743,0.001105656,0.001708038,0.001978539,0.0009233151,0.001308342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767954,"about_ca_system_score_gemma":0.001974444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132844,"about_ca_topic_score_gemma":0.00933053,"domain_scores_codex":[0.9994377,0.0002532309,0.00003021809,0.000111207,0.0000956603,0.00007185846],"domain_scores_gemma":[0.9987684,0.0007841257,0.000133599,0.0001063077,0.0001229966,0.00008457258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001403011,0.00002123299,0.001259187,0.0001223313,0.0000289365,0.0001067601,0.0002917004,0.4223033,0.0002204546,0.56378,0.001789671,0.01006241],"study_design_scores_gemma":[0.00001753549,0.00001781743,0.0005161736,0.00006091076,0.0000136433,0.00005973907,0.0002041398,0.6334545,0.0001231816,0.332659,0.03285769,0.00001577224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04926344,0.003794866,0.8317519,0.003948276,0.0002904974,0.0002505883,0.003452267,0.0005065243,0.1067416],"genre_scores_gemma":[0.7609814,0.004462708,0.1938844,0.0001823223,0.0001573387,0.0008803958,0.002007736,0.0002196297,0.03722414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0132844,"threshold_uncertainty_score":0.03888381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624239599748237,"score_gpt":0.2737323278934266,"score_spread":0.1113083679186029,"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."}}