{"id":"W4411658007","doi":"10.51847/6jzcm0p","title":"10.51847/6jZCm0P","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical insurance; Business; Turnover; Actuarial science; Economics; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003113311,0.0001467731,0.0003221794,0.000144644,0.00006174856,0.00005586663,0.0003322134,0.00008034454,0.9971623],"category_scores_gemma":[0.00005569829,0.0001938445,0.00008248813,0.0001595535,0.0000354435,0.0001415917,0.00005116585,0.00009169988,0.9978642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009380133,"about_ca_system_score_gemma":0.000007495963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004280729,"about_ca_topic_score_gemma":2.141663e-7,"domain_scores_codex":[0.9988199,0.000007510465,0.0004463985,0.0003823688,0.00001870534,0.0003250736],"domain_scores_gemma":[0.9992604,0.00003556353,0.00008021972,0.0004855828,0.00001151058,0.0001267493],"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":[0.00009628863,0.0001641574,0.00002883985,0.00001834431,0.000103544,0.00001306721,0.000348951,0.0009947408,0.000006932373,0.004305952,0.1082202,0.885699],"study_design_scores_gemma":[0.0002466837,0.00007438559,0.0001320947,0.000005047837,0.00000239832,0.000004295509,4.642963e-7,0.0007359984,0.000006775601,0.0004081933,0.9981355,0.0002481291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004473024,0.000378746,0.000002618433,0.0005777749,0.00001394275,0.0001581741,0.00008485612,0.0001007528,0.9942101],"genre_scores_gemma":[0.008045647,0.000002912079,0.0004422207,0.0002566434,0.0002267983,0.00002255659,0.00001847319,0.00003962512,0.9909451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8899153,"threshold_uncertainty_score":0.7904748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131496784105583,"score_gpt":0.1709763994980152,"score_spread":0.1578267210874569,"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."}}