{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000703029,0.000207996,0.0004834377,0.0003789381,0.00009251071,0.0002586941,0.0002342771,0.0002430279,0.0001266073],"category_scores_gemma":[0.00004696543,0.0002394691,0.00009017729,0.0002175197,0.00001395616,0.0001102741,0.0002219714,0.0001580412,0.0001587046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798496,"about_ca_system_score_gemma":0.0004945399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001136924,"about_ca_topic_score_gemma":0.000003148765,"domain_scores_codex":[0.9978056,0.000003736023,0.001199426,0.0006510823,0.00006958027,0.0002705554],"domain_scores_gemma":[0.9989136,0.00003230903,0.0004821876,0.0002918612,0.0002344316,0.00004559402],"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":[0.00001114611,0.00007753525,0.001758708,0.0005703098,0.0001507355,0.000004027482,0.0007222167,0.3227666,0.000001869744,0.666657,0.006363466,0.0009163533],"study_design_scores_gemma":[0.0004458517,0.00002791774,0.0005918972,0.0002187046,0.000006266056,0.000005501908,0.0003456269,0.334727,0.0002908076,0.03641702,0.6258675,0.001055809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06723887,0.001446569,0.9047723,0.0001997355,0.001416213,0.0006300453,0.00002947993,0.00004232206,0.02422447],"genre_scores_gemma":[0.8697251,0.0008531386,0.1004722,0.0004750663,0.0002339016,0.001050561,0.001463304,0.0000556133,0.02567112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8043001,"threshold_uncertainty_score":0.9765265,"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."}}