{"id":"W2281343876","doi":"10.1007/978-3-662-04407-0_1","title":"Introduction Markets and Institutions in Neo-Globalization","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Globalization; Redistribution (election); Welfare state; European union; Macro; Development economics; Economic system; Economics; Redistribution of income and wealth; Quarter (Canadian coin); Political science; Economic policy; Market economy; Economic growth; Geography; Unemployment; Politics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002028602,0.00009290046,0.0001012851,0.0001682094,0.000178107,0.000043452,0.00005985409,0.0001911042,0.001756225],"category_scores_gemma":[0.00004867427,0.00009393257,0.00002047828,0.00007630019,0.0001892819,0.000146512,0.00002031249,0.00008359797,0.0000975677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572622,"about_ca_system_score_gemma":0.0002718296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009425254,"about_ca_topic_score_gemma":0.007173659,"domain_scores_codex":[0.9993671,0.00002093774,0.0001399742,0.0001698749,0.0001824422,0.0001196401],"domain_scores_gemma":[0.9997717,0.00001866212,0.00004871193,0.00006035755,0.00004656091,0.00005396999],"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":[0.00000353253,0.000002756386,0.000206699,0.000002882953,0.000004363353,0.000001918112,0.0003573477,0.000001216782,1.564118e-7,0.9370365,0.05587164,0.006510975],"study_design_scores_gemma":[0.00005925102,0.000002483922,0.001587836,0.0000208955,0.000004381333,0.000002143299,0.00003887832,0.00000166596,1.345978e-7,0.05118318,0.946992,0.0001071696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008797307,0.000133566,0.00007184134,0.01104977,0.0003387068,0.0001558039,0.000001802872,0.0000347742,0.9881257],"genre_scores_gemma":[0.001759904,0.006982489,0.000101375,0.0002638767,0.001300712,0.000003485208,0.00005295887,0.000006392319,0.9895288],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8911203,"threshold_uncertainty_score":0.9991563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900647005070147,"score_gpt":0.3068601177039026,"score_spread":0.2678536476532012,"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."}}