{"id":"W4416869283","doi":"10.5256/f1000research.17325.r44938","title":"Referee report. For: Identifying stroke therapeutics from preclinical models: A protocol for a novel application of network meta-analysis [version 1; referees: 2 approved]","year":2019,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Bristol; National Institute for Health and Care Research; University Hospitals Bristol NHS Foundation Trust; Canadian Institutes of Health Research; University of Ottawa","keywords":"Protocol (science); Stroke (engine); Ischemic stroke; Acute stroke; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07093829,0.002685922,0.004747743,0.005695493,0.003429646,0.005097866,0.005739725,0.0092392,0.569661],"category_scores_gemma":[0.551111,0.002687087,0.009564091,0.005997387,0.0019116,0.004091692,0.005802937,0.00963981,0.1771685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005801476,"about_ca_system_score_gemma":0.01295904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132335,"about_ca_topic_score_gemma":0.01847204,"domain_scores_codex":[0.9527619,0.02442908,0.01070977,0.003253328,0.007463226,0.001382648],"domain_scores_gemma":[0.5679573,0.2186828,0.01806607,0.02971013,0.1576816,0.007901995],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000409507,0.000044459,0.0000710829,0.003461754,0.0001525021,0.0000217902,0.00005207877,0.0001025155,0.00007199444,0.0005669777,0.9890302,0.006015163],"study_design_scores_gemma":[0.01877935,0.0003908208,0.004319577,0.01776952,0.001197673,0.0001091329,0.0002440628,0.000965408,0.0006529082,0.01292257,0.942252,0.0003968309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0005794825,0.002473539,0.02139458,0.09444387,0.1453072,0.143504,0.5500842,0.006812484,0.03540069],"genre_scores_gemma":[0.006473177,0.002694545,0.05045265,0.1284545,0.03414194,0.5509342,0.09473106,0.005694763,0.1264232],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9290617,"threshold_uncertainty_score":0.6138263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3831560293703306,"score_gpt":0.4926737580187716,"score_spread":0.109517728648441,"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."}}