{"id":"W4416605728","doi":"10.5256/f1000research.9367.r14596","title":"Referee report. For: Assessment of pharmacogenomic agreement [version 1; referees: 2 approved]","year":2016,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Higher Education Discipline Innovation Project; Government of Ontario; National Natural Science Foundation of China; Pershing Square Sohn Cancer Research Alliance; National Supercomputer Centre in Guangzhou; National Aeronautics and Space Administration; Cancer Research Society; National Heart, Lung, and Blood Institute; WorldQuant Foundation; Vallee Foundation; Canadian Cancer Society Research Institute; National Institutes of Health; Yale University","keywords":"Measure (data warehouse); Set (abstract data type); Selection (genetic algorithm); Context (archaeology)","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":[0.02662884,0.001142099,0.002034365,0.005404798,0.006085714,0.006321076,0.004683151,0.01164142,0.5555108],"category_scores_gemma":[0.3380469,0.0009064953,0.002206295,0.004746414,0.001496638,0.004154533,0.005153762,0.007936628,0.2883201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005647168,"about_ca_system_score_gemma":0.01130276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980518,"about_ca_topic_score_gemma":0.0240961,"domain_scores_codex":[0.9740209,0.005462558,0.003756417,0.002441609,0.0128531,0.00146538],"domain_scores_gemma":[0.5860587,0.08378372,0.0058596,0.02185605,0.2958047,0.006637261],"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":[0.00001803037,0.000009498467,0.00003894219,0.00008862445,0.000005129593,0.00003161337,0.00003349515,0.000009999885,0.00007013699,0.0003767876,0.9965771,0.002740631],"study_design_scores_gemma":[0.0001159127,0.00003006522,0.001445713,0.0005344977,0.0000365754,0.0001125208,0.000285847,0.0001559016,0.00049264,0.002776605,0.9939401,0.00007365554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001524319,0.002062498,0.01389874,0.2974744,0.3215644,0.008954654,0.1268598,0.00920109,0.2184601],"genre_scores_gemma":[0.01403728,0.001901931,0.0168265,0.1654916,0.0395212,0.01062689,0.04052077,0.006330078,0.7047437],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9733711,"threshold_uncertainty_score":0.63401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2442700234264542,"score_gpt":0.5282931489550033,"score_spread":0.2840231255285491,"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."}}