{"id":"W3167623960","doi":"10.29173/cais1199","title":"Overlay Journals: Overlooked or Emergent?","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Uppsala Universitet; Radboud Universiteit; Technische Universiteit Delft","keywords":"Overlay; Preprint; Coronavirus disease 2019 (COVID-19); Overlay network; Maturity (psychological); Computer science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internet privacy; Data science; World Wide Web; Psychology; Disease; Medicine; The Internet; Infectious disease (medical specialty); Developmental psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004664503,0.0003319016,0.0008654175,0.0003122887,0.0002744661,0.01337408,0.00686428,0.0003157386,0.001298008],"category_scores_gemma":[0.2601618,0.000202923,0.0003950299,0.002053419,0.0004231208,0.02755356,0.002054599,0.0007579112,0.00002173972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006704484,"about_ca_system_score_gemma":0.001019948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398094,"about_ca_topic_score_gemma":0.00003132833,"domain_scores_codex":[0.9945154,0.0001085703,0.001499581,0.0006598201,0.002621688,0.0005949944],"domain_scores_gemma":[0.851438,0.001312383,0.002984632,0.0006937285,0.1431228,0.0004484403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005364201,0.0003520919,0.4992925,0.0001563286,0.000285576,0.00001842684,0.03463093,0.00002034213,0.03231404,0.01527697,0.3795297,0.03758671],"study_design_scores_gemma":[0.001289635,0.0002213134,0.2111219,0.0006684548,0.0001481004,0.0002326921,0.01924016,0.0005459891,0.08834093,0.04545444,0.6320506,0.0006858429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537645,0.0005925625,0.00006026158,0.009957687,0.0006825987,0.0002071979,0.000188451,0.00003603901,0.03451068],"genre_scores_gemma":[0.9846964,0.0003553847,0.0004465374,0.0008027794,0.0002448314,0.00001190317,0.000002376786,0.00002466501,0.01341512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881706,"threshold_uncertainty_score":0.999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100487611977522,"score_gpt":0.3670922991519918,"score_spread":0.2666046871744698,"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."}}