{"id":"W4224250126","doi":"10.1108/cr-11-2021-0155","title":"Searching for “rare diamonds”? Industrial districts and innovation in Spain and Italy","year":2022,"lang":"en","type":"article","venue":"Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Originality; Regional science; Production (economics); Industrial district; Economic geography; Quarter (Canadian coin); Novelty; Relevance (law); Quartile; Business; Geography; Economic growth; Economy; Economics; Political science; Statistics; Creativity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003143302,0.0001655577,0.0006982401,0.002555643,0.0005257747,0.003170599,0.0007628298,0.0005683185,0.006709623],"category_scores_gemma":[0.01140872,0.0001276732,0.0006185453,0.00372454,0.001791473,0.0008452817,0.002214541,0.0005570392,0.000519982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798241,"about_ca_system_score_gemma":0.001443926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213545,"about_ca_topic_score_gemma":0.01110642,"domain_scores_codex":[0.9975789,0.0008285968,0.0001092204,0.0005854865,0.000423917,0.0004738901],"domain_scores_gemma":[0.9817455,0.009411077,0.005571004,0.001194742,0.001004681,0.001072979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003479847,0.0001367708,0.9495971,0.0003141805,0.0001633795,0.0003167449,0.002518234,0.00151591,0.0002076465,0.007349161,0.002689198,0.03484357],"study_design_scores_gemma":[0.00003709188,0.00007690483,0.9871398,0.0001423779,0.00006879841,0.000126623,0.003390912,0.0004509137,0.0001129311,0.002045651,0.006393737,0.00001418093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771961,0.002853133,0.0009557265,0.001054125,0.00003362656,0.0000273683,0.0006942583,0.00003132427,0.01715432],"genre_scores_gemma":[0.9977604,0.0002892089,0.0002778763,0.000104955,0.00002883729,0.00001266269,0.0003161111,0.000008016644,0.001201876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213545,"threshold_uncertainty_score":0.02412963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08096148244285405,"score_gpt":0.3738654681614638,"score_spread":0.2929039857186097,"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."}}