{"id":"W2510459374","doi":"10.1017/cbo9781316543795.008","title":"The Great Recession and Beyond","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Flexibility (engineering); Imperfect; Core (optical fiber); Great recession; Keynesian economics; Recession; Economics; Law and economics; Political science; Computer science; Telecommunications; Philosophy; Management; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386677,0.0003723623,0.0003054677,0.0003601396,0.002127999,0.002817292,0.0003601136,0.001298678,0.01716018],"category_scores_gemma":[0.001048277,0.0001237277,0.0002232662,0.0007431931,0.00256223,0.003905445,0.00222626,0.003030813,0.0029829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684887,"about_ca_system_score_gemma":0.003382769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157896,"about_ca_topic_score_gemma":0.02216607,"domain_scores_codex":[0.9997869,0.00006246096,0.000004604175,0.00003127058,0.00005004555,0.00006470505],"domain_scores_gemma":[0.9998763,0.00003957437,0.00001050967,0.00001266418,0.00002417149,0.00003676725],"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":[0.00002045756,0.000009119238,0.0001597141,0.00007263383,0.000003038698,0.0000851451,0.002100545,0.0001927074,0.00009579495,0.6136845,0.3489736,0.03460269],"study_design_scores_gemma":[0.000002908057,0.000004235029,0.0004379106,0.0002196748,0.000001429173,0.00003439341,0.001119079,0.00005524649,0.00002766193,0.09047658,0.9076161,0.000004861118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005344381,0.09033408,0.0008599147,0.114018,0.004755225,0.000008709028,0.0001611334,0.00007687871,0.7844416],"genre_scores_gemma":[0.1808878,0.09531076,0.0007907826,0.03608298,0.003338352,0.00006036511,0.0002867811,0.0002365093,0.6830057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01716018,"threshold_uncertainty_score":0.05740649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773947451979145,"score_gpt":0.2393373980416135,"score_spread":0.211597923521822,"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."}}