{"id":"W4231255418","doi":"10.5539/cis.v8n4p105","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 8, No. 4","year":2015,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03631093,0.002807774,0.006167749,0.01068253,0.005198161,0.009444092,0.005838544,0.01634461,0.1247998],"category_scores_gemma":[0.4008288,0.00176757,0.004354521,0.004362935,0.002840089,0.006421014,0.003776332,0.009625885,0.06808849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005698851,"about_ca_system_score_gemma":0.009875355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507131,"about_ca_topic_score_gemma":0.005311532,"domain_scores_codex":[0.95818,0.007361677,0.008640108,0.002966721,0.02101698,0.001834492],"domain_scores_gemma":[0.2316025,0.0270011,0.01189122,0.006897727,0.7134085,0.009198856],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003199587,0.000004405694,0.00009717629,0.0004086737,0.000009606783,0.00007603828,0.00002956733,0.00001134476,0.00004390044,0.0001341346,0.9941847,0.004968545],"study_design_scores_gemma":[0.0002062971,0.00004471185,0.0009194423,0.002412055,0.00009645831,0.0010191,0.0002849091,0.0003111744,0.0003088306,0.00155302,0.9927275,0.0001165696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001623024,0.003049062,0.001150482,0.1212753,0.8687284,0.0006181828,0.000604652,0.0004053776,0.004006191],"genre_scores_gemma":[0.005649662,0.008095952,0.003441728,0.1468717,0.7382899,0.003105488,0.001602809,0.001169134,0.09177363],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9636891,"threshold_uncertainty_score":0.4174969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438602655899332,"score_gpt":0.2682675730258988,"score_spread":0.2338815464669055,"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."}}