{"id":"W2135808090","doi":"10.1093/jeg/lbq028","title":"Opening up the 'Jacobs Spillovers' black box: local diversity, creativity and the processes underlying new combinations","year":2010,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Creativity; Diversity (politics); Economic geography; Black box; Economics; Sociology; Psychology; Computer science; Social psychology; Artificial intelligence; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096262,0.00007490813,0.0001474666,0.0001108299,0.001137797,0.0002278882,0.0004127589,0.00004874332,0.000112859],"category_scores_gemma":[0.0001414524,0.00004551159,0.000113578,0.0001517592,0.001076669,0.0004562876,0.0001404075,0.0002529138,0.000007656534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002570768,"about_ca_system_score_gemma":0.0004299874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689844,"about_ca_topic_score_gemma":0.004010186,"domain_scores_codex":[0.9993426,0.00008444708,0.0001925755,0.00007737951,0.0001493165,0.0001536776],"domain_scores_gemma":[0.9988281,0.0006186296,0.0002881268,0.0000696065,0.00008771812,0.0001078287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001302297,0.00004968132,0.6327925,0.00001487517,0.0003309691,0.000002909767,0.04849564,0.0001238234,0.000005553779,0.2868978,0.02154739,0.009608617],"study_design_scores_gemma":[0.004303379,0.00008215205,0.4647629,0.00005652941,0.0001739791,0.00002897617,0.02218775,0.00009382915,0.00002149063,0.2929316,0.2150494,0.0003080055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366848,0.0001668909,0.0003262586,0.02632287,0.0007138783,0.0001728942,0.000001614007,0.000007137965,0.03560361],"genre_scores_gemma":[0.9980145,0.0005550014,0.0001054545,0.0003185675,0.0002238848,6.364541e-7,3.284187e-7,0.000003291015,0.0007783792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193502,"threshold_uncertainty_score":0.8751129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046491288413415,"score_gpt":0.310089245784579,"score_spread":0.2696243329004449,"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."}}