{"id":"W4377231989","doi":"10.1007/978-3-031-31335-6_7","title":"Economic Shocks in Greece and the Effects on the Gross Value Added Per Economic Sector","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œpolitical economy of Greek growth up to 2030","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); Economy; Economic sector; Shock (circulatory); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589216,0.0003204354,0.0002452736,0.0007473464,0.0002064223,0.001897766,0.000299189,0.0007847762,0.003198597],"category_scores_gemma":[0.001169482,0.0001401706,0.0003961662,0.001739065,0.0007241282,0.001084103,0.0008738597,0.0007785963,0.0005759425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888311,"about_ca_system_score_gemma":0.0009499324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120052,"about_ca_topic_score_gemma":0.008523903,"domain_scores_codex":[0.9998272,0.00004117429,0.00001651463,0.00003761823,0.00004635154,0.00003112237],"domain_scores_gemma":[0.9997671,0.00008354887,0.0000731238,0.00001756815,0.0000338589,0.00002468718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000683481,0.0003250828,0.1287421,0.001058859,0.0004970797,0.004914029,0.002785722,0.1458046,0.005506149,0.4743987,0.05133367,0.1839506],"study_design_scores_gemma":[0.00005603794,0.0002625651,0.5381409,0.0004968308,0.000158159,0.001253399,0.003961196,0.03144066,0.003108713,0.2461895,0.1748104,0.0001216764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8123916,0.02349639,0.001535338,0.008806505,0.0005541144,0.00002690342,0.005539184,0.0001394023,0.1475106],"genre_scores_gemma":[0.9785307,0.005997088,0.0002308795,0.0002541191,0.00009711378,0.00001076072,0.0009446479,0.0000299491,0.01390476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120052,"threshold_uncertainty_score":0.02227062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933945847859063,"score_gpt":0.2137478354315381,"score_spread":0.1944083769529474,"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."}}