{"id":"W3187623100","doi":"10.1109/access.2021.3103837","title":"Computer Simulations of Scientific Peer Reviewing","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003656779,0.00007480982,0.0001708346,0.00009178998,0.0001716855,0.0006242074,0.0008679815,0.00003432849,0.0000192911],"category_scores_gemma":[0.00005208668,0.000068019,0.0000693192,0.0008126171,0.00003580756,0.000668511,0.0002237795,0.00006670281,0.00003123768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683811,"about_ca_system_score_gemma":0.0000861095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001947307,"about_ca_topic_score_gemma":0.000009994253,"domain_scores_codex":[0.9988005,0.00007828497,0.0002632431,0.0003234641,0.0003746133,0.0001598828],"domain_scores_gemma":[0.9986296,0.0001072252,0.00009820182,0.000657274,0.000458699,0.00004900023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007897346,0.001265387,0.0695054,0.001703983,0.0003397577,0.0003745061,0.02105641,0.08663744,0.131532,0.08824278,0.3464656,0.2528688],"study_design_scores_gemma":[0.0006739086,0.00004109686,0.005957392,0.0009160933,0.00002280158,0.00006999165,0.00003046517,0.6346603,0.1421941,0.002206048,0.2125752,0.000652632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2278283,0.0006824409,0.7628856,0.0009781267,0.005830416,0.0001228003,0.000006550789,0.0001114434,0.001554375],"genre_scores_gemma":[0.9891938,0.000004047639,0.009281222,0.0001552429,0.000181972,0.000002931562,0.000004836525,0.000005209063,0.001170714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7613655,"threshold_uncertainty_score":0.6019247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09064441082412902,"score_gpt":0.3531672990782896,"score_spread":0.2625228882541606,"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."}}