{"id":"W4404905618","doi":"10.32920/27934593","title":"Academic Primer Series: Key Papers About Peer Review","year":2024,"lang":"en","type":"preprint","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Key (lock); Series (stratigraphy); Primer (cosmetics); Computer science; Biology; Computer security; Chemistry; Paleontology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09413988,0.002649495,0.002273322,0.008428362,0.004514689,0.02288236,0.00590399,0.01303035,0.1450319],"category_scores_gemma":[0.3771665,0.001768014,0.002096873,0.009118689,0.006152706,0.01971565,0.01007724,0.01989357,0.1376498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008998048,"about_ca_system_score_gemma":0.02089349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170514,"about_ca_topic_score_gemma":0.001418041,"domain_scores_codex":[0.8696395,0.04948624,0.02044656,0.005867995,0.05104589,0.00351382],"domain_scores_gemma":[0.5143815,0.2520175,0.029952,0.02043048,0.1613667,0.02185186],"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":[0.00001945133,0.00001805206,0.00005126351,0.001112241,0.000007400825,0.00004743618,0.0002754011,0.00004755304,0.0001169233,0.003737051,0.9489252,0.045642],"study_design_scores_gemma":[0.000009515275,0.00001630803,0.00009564956,0.001462262,0.000005160003,0.0001259939,0.0001796871,0.00004424759,0.00009043336,0.003667558,0.9942854,0.00001772396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0002596114,0.04727716,0.0132573,0.4602548,0.3958601,0.002642809,0.001136454,0.001772908,0.07753887],"genre_scores_gemma":[0.008737655,0.115101,0.02802472,0.2266973,0.452458,0.004954326,0.002405894,0.004317901,0.1573032],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9058601,"threshold_uncertainty_score":0.4978652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6378472806550276,"score_gpt":0.6182650425351772,"score_spread":0.01958223811985038,"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."}}