{"id":"W2035396258","doi":"10.1371/journal.pone.0085382","title":"With Great Power Comes Great Responsibility: the Importance of Rejection, Power, and Editors in the Practice of Scientific Publishing","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; York University","funders":"National Science Foundation","keywords":"Citation; Publishing; Computer science; Proxy (statistics); Data science; Peer review; Scientific literature; Library science; Biology; Political science; Law","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","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4088652,0.0006815286,0.002413079,0.01084575,0.006274928,0.0245949,0.003899634,0.004529457,0.003912032],"category_scores_gemma":[0.8440813,0.00113524,0.0009714502,0.01208793,0.02267954,0.02030097,0.01244465,0.00589484,0.0009819556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006198803,"about_ca_system_score_gemma":0.01198246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971481,"about_ca_topic_score_gemma":0.002182222,"domain_scores_codex":[0.4129878,0.388651,0.04709382,0.02385702,0.1203089,0.007101403],"domain_scores_gemma":[0.05376542,0.7638047,0.1103889,0.03290532,0.02872233,0.01041323],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001684924,0.0005523487,0.4397571,0.002457723,0.001179304,0.001027286,0.08184351,0.001511294,0.001769734,0.05330605,0.01356499,0.4013457],"study_design_scores_gemma":[0.0007991478,0.002372543,0.570893,0.003357089,0.0008998377,0.003462718,0.05656782,0.01212503,0.003967541,0.2706959,0.07365446,0.001204965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6722476,0.01579529,0.09482902,0.1355887,0.003896299,0.0009025651,0.0003168126,0.0005630355,0.07586072],"genre_scores_gemma":[0.9833182,0.0009989368,0.008661967,0.003008867,0.001983754,0.0002422548,0.00004531395,0.000136868,0.001603806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9891542,"threshold_uncertainty_score":0.7289744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2868372913769961,"score_gpt":0.4410933058599852,"score_spread":0.1542560144829891,"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."}}