{"id":"W4324134558","doi":"10.36591/se-d-4601-13","title":"CSE 2023 Annual Meeting: Reflecting on Community: Opening Borders in Scholarly Publishing","year":2023,"lang":"en","type":"article","venue":"Science Editor","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Publishing; Theme (computing); Session (web analytics); Library science; Inclusion (mineral); Diversity (politics); Scope (computer science); Public relations; Political science; Sociology; Media studies; World Wide Web; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","scholarly_communication"],"category_scores_codex":[0.1114385,0.0002329061,0.0003615692,0.002918578,0.002813022,0.04351344,0.01393744,0.000274917,0.00008037558],"category_scores_gemma":[0.3136953,0.0001889551,0.00007606224,0.02167967,0.0006546194,0.06731869,0.003182526,0.004036382,0.0006909801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000319609,"about_ca_system_score_gemma":0.001031484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119629,"about_ca_topic_score_gemma":0.0004171696,"domain_scores_codex":[0.988353,0.001033945,0.000994998,0.001100018,0.007256451,0.001261568],"domain_scores_gemma":[0.9892384,0.006977593,0.000505224,0.00128805,0.001528576,0.0004621465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002844407,0.00004099845,0.03671551,0.000003554938,0.000003041412,0.00002357681,0.009045755,0.0008783424,0.001053958,0.0005748186,0.9148308,0.0368012],"study_design_scores_gemma":[0.001361916,0.000280753,0.05988854,0.0005248313,0.000007042747,0.00001278775,0.2443544,0.01217561,0.001548011,0.03044454,0.6482442,0.001157333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113847,0.00002551656,0.00005337555,0.01870658,0.04811953,0.0002855895,0.00003265559,0.0003293339,0.1210627],"genre_scores_gemma":[0.9845271,0.000006098566,0.0005111172,0.001548436,0.009808142,0.00002510003,0.000007901112,0.00002397787,0.003542173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2665866,"threshold_uncertainty_score":0.999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2037744719107447,"score_gpt":0.4931196353187318,"score_spread":0.2893451634079871,"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."}}