{"id":"W1952399979","doi":"10.1108/ajim-03-2015-0049","title":"The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication","year":2015,"lang":"en","type":"article","venue":"Aslib Journal of Information Management","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Scopus; Subject (documents); Originality; Scholarly communication; Value (mathematics); Library science; Computer science; Political science; Sociology; Publishing; Social science; Qualitative research; MEDLINE; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04278345,0.00005380506,0.0001306858,0.01308036,0.0001218185,0.001919251,0.001415157,0.00003211326,0.000008784327],"category_scores_gemma":[0.007123574,0.00003109573,0.00004645309,0.01796969,0.0000717521,0.008653505,0.0005717017,0.0002289681,0.00002211038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008319974,"about_ca_system_score_gemma":0.0000667305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001526633,"about_ca_topic_score_gemma":0.000004552544,"domain_scores_codex":[0.9948303,0.0001550046,0.001180846,0.00005594668,0.003560216,0.0002176969],"domain_scores_gemma":[0.9954595,0.0006613673,0.0009432894,0.0003744191,0.002428264,0.0001331741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005678597,0.00002955131,0.08200018,0.000003972084,0.00001584775,7.945072e-7,0.0008083447,0.0002608855,0.000006477891,0.01765518,0.001060449,0.8981015],"study_design_scores_gemma":[0.001916018,0.0003561623,0.6675233,0.00004850538,0.00001001598,0.00002241529,0.0449268,0.009276169,0.0002899984,0.0887939,0.1867232,0.0001135818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449641,0.003099541,0.008536135,0.001598832,0.0002021513,0.0002764382,0.000002448156,0.000004204632,0.04131619],"genre_scores_gemma":[0.99518,0.001899702,0.002744878,0.00003915657,0.000008281832,0.000001968386,6.445499e-7,0.000001531889,0.0001238811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.897988,"threshold_uncertainty_score":0.9991168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653638725223654,"score_gpt":0.4601130181487675,"score_spread":0.1947491456264022,"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."}}