{"id":"W2500753482","doi":"10.1057/9780230343306_2","title":"Economics, for Better or Worse?","year":2011,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Chose; Quarter (Canadian coin); Politics; Frame (networking); Political science; Positive economics; Economics; History; Computer science; Law; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006134938,0.0004065601,0.0002795753,0.0006530636,0.001294301,0.004458212,0.0003605801,0.001673301,0.02836575],"category_scores_gemma":[0.001264535,0.0001548708,0.0001482159,0.001003505,0.003626595,0.005526801,0.001005086,0.002662619,0.008579379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413999,"about_ca_system_score_gemma":0.002024347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956754,"about_ca_topic_score_gemma":0.007553236,"domain_scores_codex":[0.9996817,0.000127821,0.000008011471,0.00004958939,0.0000845419,0.00004842717],"domain_scores_gemma":[0.9997342,0.0001291533,0.00001991899,0.0000298475,0.00004660968,0.00004028434],"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":[0.00000582183,0.00001496306,0.0002111433,0.0001002053,0.00000434154,0.00004415707,0.001176432,0.00006914863,0.00006856742,0.5511655,0.3989279,0.04821179],"study_design_scores_gemma":[0.000001695823,0.000003234063,0.0002935829,0.0001567497,0.000001348045,0.00004166998,0.0007794572,0.00002878193,0.00002283252,0.06086642,0.9378019,0.00000236238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001763887,0.1175946,0.0007864344,0.1255555,0.006939686,0.00001057313,0.0001164691,0.0000506288,0.7471822],"genre_scores_gemma":[0.0394812,0.04034786,0.0006788377,0.02272121,0.003561886,0.00003232043,0.00008860094,0.00006463084,0.8930234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02836575,"threshold_uncertainty_score":0.09489292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621672316927744,"score_gpt":0.2769586562835581,"score_spread":0.2207419331142807,"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."}}