{"id":"W2151897275","doi":"10.1126/science.1227833","title":"Flows of Research Manuscripts Among Scientific Journals Reveal Hidden Submission Patterns","year":2012,"lang":"en","type":"article","venue":"Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Directorate for Biological Sciences","keywords":"Citation; Publication; Library science; Citation analysis; Bibliometrics; Data science; Computer science; 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":[],"category_scores_codex":[0.01311486,0.0003637629,0.0008466299,0.01165486,0.001491405,0.004817853,0.0008453276,0.0006797713,0.001868041],"category_scores_gemma":[0.08473441,0.0004294121,0.0005230358,0.01240565,0.001132741,0.003502638,0.002072851,0.0005827209,0.001033327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212703,"about_ca_system_score_gemma":0.001412269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619759,"about_ca_topic_score_gemma":0.001737706,"domain_scores_codex":[0.9880419,0.003994188,0.002251029,0.002014425,0.002978532,0.0007199345],"domain_scores_gemma":[0.822816,0.09746651,0.05465508,0.007941739,0.0130772,0.004043567],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003818124,0.0001469021,0.9416847,0.0004190572,0.0002637669,0.0001421471,0.004307096,0.0007313584,0.003162622,0.001041014,0.0009068364,0.04681272],"study_design_scores_gemma":[0.00002943055,0.0001356513,0.9826412,0.00008292045,0.0001033626,0.0003252476,0.002286956,0.003299937,0.00212183,0.004836846,0.004069491,0.00006730991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937418,0.0008226376,0.002299718,0.0002903256,0.00002560685,0.00008243005,0.001379348,0.00008853849,0.001269604],"genre_scores_gemma":[0.9944587,0.0004196372,0.002891099,0.00006323007,0.00008336872,0.00007584346,0.001334436,0.00003677543,0.0006369966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9883451,"threshold_uncertainty_score":0.06935883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.783301739546172,"score_gpt":0.6359530430485998,"score_spread":0.1473486964975722,"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."}}