{"id":"W4210636189","doi":"10.5539/cis.v15n1p81","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 15, No. 1","year":2022,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Information retrieval; Library science","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":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001722813,0.0001468228,0.0001632131,0.0006821909,0.001372108,0.002372045,0.001370312,0.00002047823,0.00002616871],"category_scores_gemma":[0.0004934965,0.0001349673,0.00003146977,0.001400631,0.0004924467,0.07153311,0.002601808,0.00009958908,0.000220892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008811663,"about_ca_system_score_gemma":0.000314674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001675181,"about_ca_topic_score_gemma":1.425448e-7,"domain_scores_codex":[0.9982356,0.00001466069,0.0004791636,0.0003095268,0.000581549,0.000379438],"domain_scores_gemma":[0.9944907,0.00004886513,0.0002172367,0.0004276914,0.004603606,0.0002118419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006400081,0.00002798187,0.0002823424,0.0001130853,0.000004398399,1.121851e-7,0.00152283,0.0002449743,0.000004934479,0.0444148,0.1208869,0.8324913],"study_design_scores_gemma":[0.0003285435,0.0001391127,0.002636002,0.00001194833,0.000001458915,0.000004908313,0.00001598397,0.3930209,0.00002458907,0.0002086377,0.6034639,0.0001440531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003191211,0.00007133891,0.9771608,0.0001821679,0.01078593,0.0006823674,0.00004629522,0.0001092078,0.00777071],"genre_scores_gemma":[0.1995982,0.0006978608,0.7272757,0.06766934,0.003033867,0.0007778493,0.000450384,0.00002530562,0.0004715266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8323472,"threshold_uncertainty_score":0.999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020976181329496,"score_gpt":0.2501264791967056,"score_spread":0.2299167173834107,"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."}}