{"id":"W7132374039","doi":"","title":"Hospodářská úroveň ČR v kontextu jiných zemí – leden 2017","year":2017,"lang":"cs","type":"article","venue":"ASEP","topic":"Quality of Life Measurement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; European union; Quarter (Canadian coin); Economic impact analysis","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":[0.001460807,0.0002080711,0.0005950502,0.001219524,0.0006333931,0.001897428,0.0003414757,0.0002853318,0.008061801],"category_scores_gemma":[0.002904839,0.000200223,0.0004271177,0.001529564,0.0004133346,0.0005685209,0.00214752,0.001076491,0.001900116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238499,"about_ca_system_score_gemma":0.002975218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005361753,"about_ca_topic_score_gemma":0.008005369,"domain_scores_codex":[0.9988865,0.0002396524,0.0001760484,0.00009639619,0.0003453924,0.0002560467],"domain_scores_gemma":[0.9989497,0.0001470956,0.0002723908,0.00005726176,0.0002253999,0.0003482173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001165892,0.0006255269,0.4618519,0.002700923,0.0003075381,0.001697653,0.005656489,0.0006588206,0.002518559,0.005775324,0.04716045,0.4698809],"study_design_scores_gemma":[0.00007616009,0.0004826237,0.7733142,0.001908841,0.0001488522,0.002582147,0.007597261,0.0002228068,0.002892879,0.001053863,0.2096548,0.0000655989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971651,0.0257351,0.002258939,0.003606764,0.001155189,0.0003718186,0.008370779,0.0002257403,0.06111062],"genre_scores_gemma":[0.9453939,0.02065505,0.003090629,0.0008433016,0.0003076754,0.0003843464,0.006891188,0.0001349439,0.022299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008061801,"threshold_uncertainty_score":0.02696937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2583641600541647,"score_gpt":0.4647506709056655,"score_spread":0.2063865108515008,"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."}}