{"id":"W290453471","doi":"","title":"Proximity, distance and diversity : issues on economic interation [i.e. interaction] and local development","year":2005,"lang":"en","type":"book","venue":"Ashgate eBooks","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embeddedness; Economic geography; Industrial district; Local economic development; Diversity (politics); Economy; Business cluster; Geography; Political science; Sociology; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001386322,0.0002688357,0.0002238353,0.0002042546,0.0003880762,0.0003425649,0.0001009546,0.000163572,0.00008001263],"category_scores_gemma":[0.000005093391,0.0002606017,0.00002338525,0.00001947662,0.0001114636,0.0008191798,0.0003551089,0.0002433666,0.000156823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825228,"about_ca_system_score_gemma":0.00005475883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007742632,"about_ca_topic_score_gemma":0.0005737714,"domain_scores_codex":[0.9990852,0.000004895332,0.0002761017,0.0003702471,0.0001167538,0.0001467987],"domain_scores_gemma":[0.9994903,0.00001277066,0.0002792888,0.0001217347,0.00008559267,0.00001033699],"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":[0.0003206159,0.00005566854,0.0009869622,0.0008813342,0.0001730272,0.00001549713,0.0006182257,0.00009420156,0.00001553998,0.5053638,0.03828997,0.4531851],"study_design_scores_gemma":[0.0003939856,0.00001620718,0.002432281,0.0004157858,0.00004702059,0.000003077669,0.00007804791,0.001086378,0.00008050419,0.007880441,0.9871019,0.0004643442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02673545,0.000113042,0.001216438,0.001231566,0.0009319473,0.0006020016,0.000006925827,0.0001733783,0.9689893],"genre_scores_gemma":[0.6715164,0.00002656109,0.0001180206,0.00108294,0.001533011,0.00001407656,0.0002312202,0.0000417282,0.3254361],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9488119,"threshold_uncertainty_score":0.9999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319091271882856,"score_gpt":0.222389715202479,"score_spread":0.1991988024836504,"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."}}