{"id":"W3169785999","doi":"10.1186/s12961-021-00737-7","title":"Policy options to increase motivation for improving evidence-informed health policy-making in Iran","year":2021,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Institute for Medical Research Development; Tehran University of Medical Sciences and Health Services; Ministry of Health and Medical Education","keywords":"Incentive; Health policy; Health services research; Knowledge translation; Public relations; Health administration; Context (archaeology); Psychological intervention; Political science; Medicine; Public health; Knowledge management; Nursing; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01249128,0.0002293131,0.000911424,0.003298245,0.001005783,0.0003443789,0.0002481557,0.0002143396,0.000004577218],"category_scores_gemma":[0.01863516,0.0002233338,0.00009995944,0.003108354,0.00007071663,0.0004600884,0.0001805134,0.0004891186,0.00004726827],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004684642,"about_ca_system_score_gemma":0.008684344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5652832,"about_ca_topic_score_gemma":0.01658891,"domain_scores_codex":[0.9943497,0.0005750522,0.00205337,0.0007168259,0.0002587072,0.002046405],"domain_scores_gemma":[0.9966903,0.0007315729,0.0005186115,0.0005840128,0.0003168546,0.001158636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006298606,0.00009402118,0.01233331,0.00958364,0.00002076127,0.00000521999,0.0103668,0.0001744,0.00002043268,0.9328255,0.001222136,0.03329079],"study_design_scores_gemma":[0.006488066,0.004488023,0.4282839,0.01535225,0.000002265054,0.0003568744,0.02456001,0.02227304,0.00002560994,0.06546807,0.4306194,0.002082449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2734039,0.03697041,0.008197139,0.653284,0.001319625,0.01478981,0.001995482,0.0002163615,0.009823351],"genre_scores_gemma":[0.9870915,0.002557388,0.000403445,0.00449003,0.002400852,0.000748392,0.00003862116,0.00004907307,0.002220742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8673574,"threshold_uncertainty_score":0.9991362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4910261535226154,"score_gpt":0.522758676313114,"score_spread":0.03173252279049865,"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."}}