{"id":"W4408123017","doi":"10.1016/j.peg.2025.100037","title":"A role for economic geographers in the entrepreneurial ecosystem framework: Global pipelines and the mobility challenge","year":2025,"lang":"en","type":"article","venue":"Progress in Economic Geography","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College; University of Toronto","funders":"","keywords":"Ecosystem; Pipeline transport; Economic geography; Environmental resource management; Business; Natural resource economics; Geography; Economics; Ecology; Environmental science; Biology; Environmental engineering","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":[0.001249352,0.0002486492,0.0003938578,0.0002142453,0.0002171686,0.0004275406,0.0006056629,0.0001019011,0.00002154872],"category_scores_gemma":[0.00004994815,0.0001648931,0.0002384077,0.0002158449,0.0003835082,0.0003627676,0.0002588468,0.0001522085,0.00001000549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814205,"about_ca_system_score_gemma":0.00001903124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009404388,"about_ca_topic_score_gemma":0.006242986,"domain_scores_codex":[0.9983336,0.00005741589,0.000564524,0.0005561339,0.00006152621,0.0004268402],"domain_scores_gemma":[0.998943,0.0003826288,0.0002329691,0.0004095916,0.00002272505,0.000009117265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002353603,0.00007567398,0.906006,0.0001096681,0.00006156942,4.983197e-7,0.0001362422,0.0002625691,1.356545e-8,0.07365555,0.0001074972,0.01934935],"study_design_scores_gemma":[0.004331556,0.00002567168,0.7172978,0.0001795501,0.0001185619,0.000001009581,0.00375461,0.008529212,8.72141e-7,0.2403919,0.02498937,0.0003798743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976723,0.0112439,0.000008088537,0.006584857,0.0008775908,0.001661679,0.0000302992,0.00004621256,0.002824332],"genre_scores_gemma":[0.9970869,0.0006557998,0.00004747577,0.00069234,0.0004573882,0.001044129,0.00000636925,0.000008251448,0.000001351789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887082,"threshold_uncertainty_score":0.6724146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00818849228169539,"score_gpt":0.2474180253498325,"score_spread":0.2392295330681371,"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."}}