{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.02297267,0.001066646,0.0006191346,0.001830362,0.01163635,0.02212921,0.002343368,0.005600752,0.06394223],"category_scores_gemma":[0.01902037,0.0007987082,0.0008610566,0.00303609,0.006568751,0.01330235,0.01462901,0.005956538,0.03375927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01225544,"about_ca_system_score_gemma":0.03672645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279614,"about_ca_topic_score_gemma":0.1126202,"domain_scores_codex":[0.9869464,0.004440265,0.0005685729,0.0008485081,0.004735176,0.002461004],"domain_scores_gemma":[0.9436353,0.003595821,0.001077013,0.001755703,0.01016757,0.03976875],"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":[0.00002050003,0.00002005306,0.0002382591,0.0001044273,0.000002792048,0.00006376422,0.001282029,0.00003511207,0.0002281317,0.003832245,0.9734668,0.02070575],"study_design_scores_gemma":[0.000005262847,0.00001598836,0.000434951,0.0001278143,0.00000229441,0.00006378623,0.002132624,0.00006189093,0.0001175623,0.001358753,0.9956665,0.00001248212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01162218,0.0195821,0.01660511,0.5150479,0.1091244,0.0008496413,0.00125641,0.002774223,0.323138],"genre_scores_gemma":[0.1347304,0.03268946,0.04177387,0.06612262,0.04661946,0.001312782,0.005691349,0.004416378,0.6666438],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9976566,"threshold_uncertainty_score":0.2139081,"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."}}