{"id":"W2749567741","doi":"","title":"2000. 01. 081. Кокиде П. Сравнение систем здраво-охранения Франции, Канады, США, Германии и Великобритании. Coquide P. systeme de sante: une comparaison France, Canada, Etats-Unis, Allemagne, Grande-Bretagne // problemes Econ. P. ,1998. N 2570 P. 13-16","year":2000,"lang":"ru","type":"article","venue":"Социальные и гуманитарные науки: Отечественная и зарубежная литература. Сер. 2, Экономика: Реферативный журнал","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00552548,0.006381411,0.008559646,0.0006980739,0.01030575,0.002118895,0.006198066,0.003720046,0.02316853],"category_scores_gemma":[0.0005937279,0.004609554,0.003640939,0.00729076,0.003966111,0.002505983,0.00119242,0.005332171,0.002714663],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004551349,"about_ca_system_score_gemma":0.004967201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4936296,"about_ca_topic_score_gemma":0.6744578,"domain_scores_codex":[0.9641085,0.003851992,0.008659989,0.006541355,0.006116954,0.0107212],"domain_scores_gemma":[0.9830179,0.003365026,0.003770743,0.003152227,0.001811846,0.00488232],"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":[0.002725085,0.005681938,0.04305874,0.005537188,0.003585665,0.001162387,0.01076946,0.001045348,0.00476656,0.003281378,0.8807223,0.03766399],"study_design_scores_gemma":[0.01056685,0.003487862,0.1169234,0.0037569,0.001840337,0.001009705,0.01191903,0.001000245,0.001162805,0.002733828,0.8374624,0.008136717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745713,0.1177836,0.0001073841,0.04064918,0.006834046,0.01039434,0.008991599,0.002279787,0.03838878],"genre_scores_gemma":[0.7996546,0.06329309,0.0009657806,0.01460663,0.007926715,0.001852169,0.00392295,0.0004597148,0.1073183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808282,"threshold_uncertainty_score":0.99927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287744927082791,"score_gpt":0.2252186053618532,"score_spread":0.2123411560910253,"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."}}