{"id":"W6939468192","doi":"10.6084/m9.figshare.18482073","title":"Additional file 3 of Policy options for strengthening evidence-informed health policy-making in Iran: overall SASHA project findings","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Government (linguistics); Public policy; MEDLINE; Health policy; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006359773,0.0007198866,0.0007651067,0.003501004,0.001351798,0.001743016,0.00185909,0.0008495682,0.8525554],"category_scores_gemma":[0.05656802,0.0003798166,0.0008213929,0.007177758,0.0003617235,0.002026347,0.001480881,0.001256789,0.09365407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933561,"about_ca_system_score_gemma":0.008720164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03057561,"about_ca_topic_score_gemma":0.04003359,"domain_scores_codex":[0.9976544,0.0009364486,0.000373412,0.0001972447,0.000569817,0.0002687264],"domain_scores_gemma":[0.9528893,0.03404402,0.002132713,0.001370402,0.008611797,0.0009517742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001352468,0.0000522536,0.001452858,0.001804392,0.00002131805,0.00002527118,0.0001760508,0.0001707773,0.00001257104,0.001389794,0.9858043,0.008955175],"study_design_scores_gemma":[0.003233579,0.0001787866,0.03618858,0.00658591,0.000207164,0.000159361,0.003788874,0.001181784,0.0003902318,0.01073304,0.9372293,0.000123494],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003336693,0.00003038705,0.0002305053,0.0005809902,0.00004844892,0.0004815607,0.9929649,0.0001214978,0.005208002],"genre_scores_gemma":[0.02825836,0.0005240575,0.009851211,0.001954739,0.0002075487,0.02456436,0.8844349,0.0006441433,0.04956064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525554,"threshold_uncertainty_score":0.2103118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6117097225753819,"score_gpt":0.6422094570379534,"score_spread":0.03049973446257148,"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."}}