{"meta":{"query_hash":"3bf47d321119","filters":{"venue":"Gurukul Business Review"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3bf47d321119","api":"https://metacan.xera.ac/api/v1/cohort?venue=Gurukul+Business+Review"},"results":[{"id":"W3147324444","doi":"10.48205/gbr.v17.3","title":"Evaluating Health System Efficiency using Data Envelopment Analysis: A case of Indian Healthcare System","year":2021,"lang":"en","type":"article","venue":"Gurukul Business Review","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Data envelopment analysis; Health care; Frontier; Healthcare system; Montenegro; Business; Developing country; China; Economic growth; Economics; Regional science; Geography; Marketing; Statistics","score_opus":0.26980429925031735,"score_gpt":0.40281494000664114,"score_spread":0.1330106407563238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147324444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558714,0.0005674636,0.023764852,0.0012109109,0.00002660966,0.00027197532,0.00065128336,0.00006654563,0.01756879],"genre_scores_gemma":[0.9931078,0.00018016517,0.006060302,0.00002443135,0.0000047826074,0.000043475287,0.00011849611,0.000009087331,0.00045157163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967194,0.0016836023,0.00019596668,0.00022010383,0.0006803322,0.0005005736],"domain_scores_gemma":[0.99234116,0.004906325,0.00087522605,0.0004934604,0.0011306177,0.0002531686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004834216,0.0006195956,0.000770066,0.0032328025,0.0012899167,0.00342984,0.00090561435,0.0011156162,0.0019237457],"category_scores_gemma":[0.0079932865,0.00028880133,0.0017655174,0.005646608,0.0016098858,0.0013324649,0.0019354923,0.0011404352,0.00015813179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033947808,0.00054250227,0.12184038,0.00066736265,0.00039125982,0.0055008093,0.0029301173,0.76201963,0.0017844441,0.06593428,0.0024288318,0.035620905],"study_design_scores_gemma":[0.00008305363,0.00047534463,0.0892547,0.00034248029,0.0002696304,0.0012269804,0.012974459,0.8645607,0.0026901308,0.022353616,0.0056024245,0.00016646288],"about_ca_topic_score_codex":0.059518453,"about_ca_topic_score_gemma":0.02816063,"teacher_disagreement_score":0.059518453,"about_ca_system_score_codex":0.006779306,"about_ca_system_score_gemma":0.0036875114,"threshold_uncertainty_score":0.11834407},"labels":[],"label_agreement":null}]}