{"id":"W3213994457","doi":"10.54590/pop.2021.010","title":"Beyond the Grey Zone: Organization Research Publishing and Bibliodiversity in the Research Communication System","year":2021,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Scholarship; Public relations; Scholarly communication; Government (linguistics); Terminology; Grey literature; Sociology; Commons; Political science; Knowledge management; Business; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","bibliometrics","open_science"],"category_scores_codex":[0.3033388,0.0001320857,0.0002868182,0.03700771,0.003745096,0.0689579,0.01183381,0.0001825715,0.0005610009],"category_scores_gemma":[0.1703164,0.00007648842,0.0000439573,0.4110585,0.001019268,0.006634966,0.01170646,0.001773831,0.0003742748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888359,"about_ca_system_score_gemma":0.001378576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380108,"about_ca_topic_score_gemma":0.001625648,"domain_scores_codex":[0.9626011,0.01846581,0.0009021541,0.001062227,0.01556798,0.001400695],"domain_scores_gemma":[0.9307594,0.03258162,0.0003013134,0.004421914,0.03126908,0.0006666974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001377056,0.0002927577,0.6237173,0.00001619037,0.0000180011,0.000039091,0.004230556,0.000006407728,0.00009512447,0.114127,0.2386227,0.01882111],"study_design_scores_gemma":[0.0008028743,0.00007936801,0.7946336,0.00003140012,0.000007306661,0.00003737675,0.08697889,0.003069925,0.0002330875,0.01267952,0.1012399,0.0002067725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770539,0.002213364,0.0001007218,0.07860722,0.0002404669,0.001029647,0.00002907344,0.00002303112,0.04070257],"genre_scores_gemma":[0.9978918,0.0003435476,0.0001131941,0.0004440748,0.00006406745,0.00009098557,0.0000239608,0.00001301175,0.001015347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3740508,"threshold_uncertainty_score":0.9975519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9020949079957455,"score_gpt":0.6369403121597293,"score_spread":0.2651545958360162,"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."}}