{"id":"W4386291874","doi":"10.5539/cis.v16n3p36","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 16, No. 3","year":2023,"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":"","funders":"","keywords":"Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02881741,0.0022705,0.004858778,0.008890923,0.005020121,0.009982021,0.004795203,0.01464464,0.1657429],"category_scores_gemma":[0.2964938,0.001370092,0.003646494,0.004214369,0.002147764,0.005192343,0.003062844,0.008344076,0.108965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005103192,"about_ca_system_score_gemma":0.01029693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003858878,"about_ca_topic_score_gemma":0.006426044,"domain_scores_codex":[0.9665844,0.005233561,0.005783717,0.002301075,0.01855081,0.001546428],"domain_scores_gemma":[0.3119446,0.02132061,0.009277051,0.006028609,0.6408016,0.01062757],"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":[0.0000187593,0.000003017071,0.00005669148,0.0001800763,0.000004414305,0.00004002847,0.00001391049,0.000007104965,0.00002628347,0.00009645688,0.995782,0.003771205],"study_design_scores_gemma":[0.0001223933,0.00003258141,0.0006605429,0.001425284,0.00004940597,0.0006577475,0.0001577871,0.0002210726,0.0002093442,0.001082342,0.9953051,0.00007649921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001506132,0.002945037,0.001286056,0.1233974,0.8621656,0.0006468027,0.0008127913,0.0005587845,0.008036925],"genre_scores_gemma":[0.005591245,0.009502945,0.003333866,0.1612984,0.6555873,0.002735355,0.002463108,0.001637464,0.1578503],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1657429,"threshold_uncertainty_score":0.5544652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590928516141665,"score_gpt":0.2661037771280502,"score_spread":0.2401944919666335,"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."}}