{"id":"W4416604294","doi":"10.5256/f1000research.55033.r83113","title":"Referee report. For: PUblications Metadata Augmentation (PUMA) pipeline [version 2; peer review: 1 approved, 1 approved with reservations]","year":2021,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Economic and Social Research Council; Medical Research Council; European Commission; Canadian Institutes of Health Research; National Institute for Health and Care Research; UK Research and Innovation; University of Bristol; Department of Health and Social Care; Wellcome Trust","keywords":"Pipeline (software); Metadata; The Internet; Troubleshooting","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01267929,0.001060683,0.001267669,0.006048462,0.003760984,0.007832358,0.002867258,0.005238869,0.7885414],"category_scores_gemma":[0.1455105,0.0008393095,0.001326857,0.005657853,0.001188736,0.006412073,0.005437895,0.003325689,0.6506791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003855232,"about_ca_system_score_gemma":0.00920646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144249,"about_ca_topic_score_gemma":0.03137744,"domain_scores_codex":[0.9903226,0.001171681,0.0008746423,0.0008931009,0.006073966,0.0006639932],"domain_scores_gemma":[0.8093585,0.02298383,0.002964981,0.01372643,0.1450484,0.005917785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001027734,0.000008011426,0.00003920167,0.00004684636,0.000001794375,0.00001314655,0.00001756226,0.000009476476,0.0001058822,0.0003264761,0.9947081,0.004713217],"study_design_scores_gemma":[0.00003550891,0.00001630409,0.0006262665,0.0001368605,0.000009243762,0.00005000177,0.0001368511,0.0001393405,0.0004782365,0.001507215,0.9968263,0.00003790947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001280505,0.001166155,0.02618745,0.1670898,0.172379,0.005740447,0.2522993,0.04445131,0.3294059],"genre_scores_gemma":[0.006415237,0.0009627428,0.01371151,0.02166984,0.0135559,0.002384578,0.06287658,0.01265365,0.8657699],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7885414,"threshold_uncertainty_score":0.3016199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2939598996466887,"score_gpt":0.5042098420694354,"score_spread":0.2102499424227467,"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."}}