{"id":"W1977783272","doi":"10.1093/jeg/lbn037","title":"Knowledge economies: innovation, organization and location * Wilfred Dolfsma","year":2008,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Sociology; Economy; Geography; Economics","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":[0.0003997236,0.00006403142,0.0001328987,0.0005323522,0.0003155555,0.00004566715,0.0001184205,0.00005872207,0.0001019073],"category_scores_gemma":[0.0001299134,0.00006513913,0.00002922694,0.0006141479,0.0001900439,0.0004930705,0.00001300681,0.0000614356,0.00003452084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824089,"about_ca_system_score_gemma":0.0004947038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104626,"about_ca_topic_score_gemma":0.00009603912,"domain_scores_codex":[0.999326,0.00004237886,0.0003934731,0.00007565458,0.00005251981,0.0001099882],"domain_scores_gemma":[0.9989868,0.00005726009,0.0003742547,0.00004834127,0.0004708546,0.00006244538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001688163,0.00004617013,0.8217527,0.00001095265,0.00009939487,0.000001969292,0.01391917,0.00008038143,0.00002780595,0.1256855,0.03529755,0.003061501],"study_design_scores_gemma":[0.0006503825,0.0000517058,0.6422324,0.00002360587,0.000015526,0.00005842768,0.0009807526,0.00001402123,0.00009303869,0.009879529,0.3458126,0.0001879757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845231,0.0003130375,0.00009705115,0.002065547,0.000456197,0.00006377055,8.920347e-7,0.000009797366,0.01247064],"genre_scores_gemma":[0.996708,0.001695193,0.000316743,0.0001382361,0.0006060184,7.979647e-7,0.000004407841,0.000006325925,0.000524219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310515,"threshold_uncertainty_score":0.2656296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741652373204587,"score_gpt":0.278540751837018,"score_spread":0.2511242281049721,"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."}}