{"id":"W3208344303","doi":"","title":"Die wirtschaftliche Entwicklung im Inland: Dienstleistungen erholen sich von der Pandemie – Lieferengpässe belasten die Industrie","year":2021,"lang":"de","type":"article","venue":"Institutional Repository (IHS Vienna)","topic":"Economic and Business Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Economic recovery; Consumption (sociology); Quarter (Canadian coin); Business; Tertiary sector of the economy; Coronavirus disease 2019 (COVID-19); Service (business); Economics; Economic policy; Economy; Politics; Geography; Political science","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":[0.0007225637,0.0002833969,0.0001849548,0.0004949893,0.001364991,0.003496743,0.0002311198,0.0005814573,0.0234716],"category_scores_gemma":[0.0008492254,0.0001495042,0.0001962798,0.001178789,0.0009081254,0.00198745,0.001778644,0.001389414,0.002277152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00253891,"about_ca_system_score_gemma":0.004048264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05137324,"about_ca_topic_score_gemma":0.04828119,"domain_scores_codex":[0.9993787,0.0001912257,0.00002288751,0.00007028582,0.0001482184,0.0001887192],"domain_scores_gemma":[0.9995542,0.00004930393,0.00008577503,0.00002888797,0.0001472416,0.0001344602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002769546,0.000282858,0.07477214,0.001141782,0.0001311339,0.00145462,0.01099152,0.001211932,0.009867935,0.207248,0.2425811,0.45004],"study_design_scores_gemma":[0.000009121832,0.00009974887,0.06737494,0.0004532963,0.00001887546,0.0002866097,0.008274343,0.0002450346,0.00105783,0.005250181,0.9169059,0.00002415848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2528605,0.03091209,0.004503869,0.08013121,0.002056104,0.00009404232,0.004129483,0.00018416,0.6251286],"genre_scores_gemma":[0.8285457,0.03317665,0.005141506,0.007423487,0.0003636017,0.00009183207,0.003272756,0.0001246856,0.1218598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05137324,"threshold_uncertainty_score":0.1021484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394498541026417,"score_gpt":0.2240842756526756,"score_spread":0.1846344215500339,"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."}}