{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004936337,0.001036695,0.0005901961,0.002016237,0.001273499,0.00285153,0.001142662,0.002796981,0.9713581],"category_scores_gemma":[0.001086737,0.0004107316,0.0004822563,0.00240134,0.0007886859,0.00180209,0.002508592,0.001096256,0.9706002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073401,"about_ca_system_score_gemma":0.0006229993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003481526,"about_ca_topic_score_gemma":0.002685404,"domain_scores_codex":[0.9995825,0.00003274719,0.00002474064,0.0001308309,0.0001467855,0.00008238493],"domain_scores_gemma":[0.9992439,0.000101649,0.00004605145,0.0001773503,0.0002441559,0.0001869069],"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":[0.0001747774,0.0001645415,0.0009539099,0.0003184991,0.00001521413,0.000271077,0.00008814516,0.0003346189,0.003950306,0.007247481,0.39936,0.5871214],"study_design_scores_gemma":[0.0000285833,0.0000329416,0.001348744,0.0001002013,0.000006159411,0.0002037885,0.00006739762,0.0003696505,0.0006557464,0.001103795,0.9960707,0.00001216091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001449457,0.0002515514,0.001627801,0.0007716825,0.0004643018,0.00008760473,0.001667177,0.002187527,0.991493],"genre_scores_gemma":[0.004176308,0.0001833529,0.001181615,0.0003258684,0.00007801339,0.00005182702,0.001277228,0.0004070008,0.9923189],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02864188,"threshold_uncertainty_score":0.04085416,"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."}}