{"id":"W2283711217","doi":"","title":"Manuscript processing times are negatively correlated with journal impact factors","year":2013,"lang":"en","type":"article","venue":"Canadian journal of information science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01366406,0.0005114785,0.000851628,0.004725756,0.0006820877,0.002900044,0.0006075919,0.0006638331,0.004726801],"category_scores_gemma":[0.1413268,0.0003307945,0.001206533,0.005646948,0.0005739374,0.001625263,0.001090579,0.000879189,0.00144983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000699082,"about_ca_system_score_gemma":0.001832939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008094404,"about_ca_topic_score_gemma":0.0007357628,"domain_scores_codex":[0.9849192,0.003082309,0.003824655,0.001106547,0.006368643,0.0006986669],"domain_scores_gemma":[0.635178,0.2158225,0.09849315,0.008653289,0.03339723,0.008455822],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003339608,0.0004599141,0.8790877,0.001379377,0.001036652,0.000360152,0.001255403,0.001397106,0.01645523,0.0004454612,0.002359331,0.09242409],"study_design_scores_gemma":[0.00006077629,0.0009257247,0.9878006,0.0000726576,0.0001645142,0.0004945699,0.0003954534,0.001141574,0.004896935,0.0004564965,0.003541083,0.00004958368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811859,0.005487823,0.005934049,0.0008049004,0.0003051667,0.0001700136,0.001234681,0.0002812996,0.004596024],"genre_scores_gemma":[0.9881954,0.002198541,0.005439183,0.0001439887,0.0003898382,0.000361208,0.001111394,0.00009223633,0.002068176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952742,"threshold_uncertainty_score":0.0722633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2638722080380871,"score_gpt":0.4572115790032622,"score_spread":0.1933393709651751,"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."}}