{"id":"W7132322583","doi":"","title":"Разходи за здравеопазване в условия на криза","year":2014,"lang":"","type":"other","venue":"Bulgarian Portal for Open Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; China; Developing country; Public sector; Public health; Financial crisis; Developed country; Health services","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00274567,0.0006299645,0.0004419938,0.001865111,0.004835923,0.01119863,0.001019762,0.002258827,0.02381437],"category_scores_gemma":[0.005314489,0.0004768483,0.0006280435,0.001925256,0.009766849,0.006077969,0.003149,0.00353503,0.01006235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006740321,"about_ca_system_score_gemma":0.009839175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210677,"about_ca_topic_score_gemma":0.01465923,"domain_scores_codex":[0.9962146,0.0009595976,0.0002080055,0.00073752,0.001417704,0.0004624394],"domain_scores_gemma":[0.9974009,0.0005834795,0.0002420811,0.0003142505,0.001073,0.0003864087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003822897,0.00003008764,0.001444109,0.0001943858,0.00002021908,0.0003034863,0.007549435,0.0003141052,0.0008026087,0.916894,0.02186477,0.05054456],"study_design_scores_gemma":[0.00001531544,0.00003190865,0.003224871,0.0003398758,0.00002848853,0.0003828755,0.006478983,0.0003582022,0.001062378,0.1728851,0.8151479,0.00004391768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01647099,0.007398088,0.01862293,0.01677161,0.001212592,0.0001251364,0.0003707527,0.0002053455,0.9388226],"genre_scores_gemma":[0.579969,0.01251403,0.03199481,0.004357226,0.00116147,0.0003629492,0.0006914142,0.000453303,0.3684959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02381437,"threshold_uncertainty_score":0.07966703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288411029544071,"score_gpt":0.3395184961769625,"score_spread":0.3066343858815218,"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."}}