{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004592869,0.0004086971,0.0005979569,0.00007412529,0.004545161,0.00137023,0.002640571,0.000394331,0.001554897],"category_scores_gemma":[0.002095734,0.0004332766,0.0003620272,0.0001066704,0.001383921,0.0008649779,0.0004306783,0.0004770424,0.007264568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682382,"about_ca_system_score_gemma":0.0006009325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02398772,"about_ca_topic_score_gemma":0.02101574,"domain_scores_codex":[0.9950008,0.0005138788,0.0006014557,0.0008039135,0.001960011,0.001119905],"domain_scores_gemma":[0.9958984,0.0002113801,0.0008969305,0.002108924,0.0003242086,0.000560144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001395715,0.001036364,0.07861011,0.0002177263,0.0005818165,0.0002625391,0.05279604,0.000005532524,0.0009308899,0.03430426,0.6906321,0.140483],"study_design_scores_gemma":[0.00122531,0.0001934795,0.1218685,0.000281734,0.0001718501,0.00000331564,0.006072604,0.0000516442,0.0004201821,0.00605316,0.8627806,0.0008776822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3353359,0.002618079,0.0001497217,0.06864947,0.008843608,0.001227912,0.0001308683,0.0002081343,0.5828363],"genre_scores_gemma":[0.9562597,0.0004150225,0.0003744575,0.001312982,0.002841821,0.00001935442,0.00001017299,0.00004252819,0.03872395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6209238,"threshold_uncertainty_score":0.9998119,"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."}}