{"id":"W7084582964","doi":"10.51582/interconf.19-20.07.2025.004","title":"Trends in household income and expenditure, and the pace of credit activity in Georgia","year":2025,"lang":"en","type":"article","venue":"InterConf","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Loan; Quarter (Canadian coin); Capital (architecture); Interest rate; Business cycle; Bank credit; Economic recovery; Normalization (sociology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002163065,0.00007807501,0.0002600541,0.0001965212,0.000009757184,0.000009046498,0.00004304664,0.00006235737,0.00001642754],"category_scores_gemma":[0.00005276421,0.00005020816,0.00002549016,0.0001331236,0.0001409148,0.00004591767,0.00007124108,0.0001864685,3.357354e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002654467,"about_ca_system_score_gemma":0.00001855578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474177,"about_ca_topic_score_gemma":0.0005737768,"domain_scores_codex":[0.9995313,0.00005598377,0.000123055,0.0001270795,0.00005588948,0.000106731],"domain_scores_gemma":[0.99962,0.0001696254,0.00002830743,0.0001501849,0.000005498859,0.00002640968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00354538,0.0003356811,0.7437578,0.0004615671,0.0001069771,0.0001333193,0.008879567,0.000003364337,0.01917589,0.005388939,0.00257015,0.2156413],"study_design_scores_gemma":[0.004426001,0.00009391491,0.988639,0.0003667839,0.0000195816,0.00001176084,0.0002424205,0.0001661612,0.004875178,0.0003055021,0.0008036379,0.00005003756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940941,0.001181148,0.00001069506,0.001474188,0.000106275,0.0001205418,0.000004876225,0.00001016019,0.002997989],"genre_scores_gemma":[0.9990515,0.00004653579,0.00001384992,0.000131974,0.00002394847,0.00001205843,8.987441e-7,0.000005206494,0.0007140226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2448812,"threshold_uncertainty_score":0.2228525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482008967947775,"score_gpt":0.2811110077732198,"score_spread":0.2662909180937421,"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."}}