{"id":"W3004011009","doi":"10.1007/978-3-642-36203-3_37-1","title":"Relational and Evolutionary Economic Geography","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; University of Toronto","funders":"","keywords":"Situated; Context (archaeology); Perspective (graphical); Time geography; Strategic geography; Critical geography; Economic geography; Epistemology; Data science; Management science; Geography; Sociology; Human geography; Computer science; Development geography; Historical geography; Artificial intelligence; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001088367,0.0002854264,0.0006627447,0.0003668317,0.0001087426,0.00005620159,0.000152313,0.0002839612,0.006245645],"category_scores_gemma":[0.000007322717,0.0003520876,0.0004005382,0.00001769113,0.0001305399,0.0001454318,0.000114392,0.000233664,0.004130582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227556,"about_ca_system_score_gemma":0.00003716251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002539757,"about_ca_topic_score_gemma":0.00005340793,"domain_scores_codex":[0.9983464,0.000002172124,0.0007655998,0.0007094616,0.00002692953,0.0001493761],"domain_scores_gemma":[0.9990641,0.00004733403,0.0004755802,0.0002351864,0.00001637972,0.0001613767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007148853,0.000003861789,0.003065208,0.000009076772,0.0002809984,0.000002621579,0.000006294078,0.00011482,4.60631e-8,0.9883946,0.00789295,0.0002224175],"study_design_scores_gemma":[0.0001067625,0.00002054937,0.002018565,0.000005214448,0.00001501447,0.000003494834,8.954062e-7,0.003625106,4.743564e-8,0.5166544,0.4772888,0.0002611128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001077785,0.004945348,0.000570997,0.006070568,0.0002043712,0.0001274803,0.0006618843,0.00003774725,0.9872738],"genre_scores_gemma":[0.06506513,0.0106192,0.003691114,0.00256128,0.00136503,0.00002802485,0.0010761,0.0001852027,0.9154089],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4717401,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187878383232677,"score_gpt":0.1747830886503628,"score_spread":0.1429043048180361,"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."}}