{"id":"W4249566255","doi":"10.5539/cis.v9n2p172","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 9, No. 2","year":2016,"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; Library 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":[0.02224976,0.002143,0.004556043,0.009615012,0.004156242,0.008610637,0.004453903,0.009912335,0.2179964],"category_scores_gemma":[0.2604661,0.001190091,0.002774555,0.003945605,0.002033922,0.005320875,0.003038227,0.006512856,0.1350872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259118,"about_ca_system_score_gemma":0.007828046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003195721,"about_ca_topic_score_gemma":0.00561639,"domain_scores_codex":[0.9710503,0.00389665,0.004376315,0.002137301,0.01726858,0.001270815],"domain_scores_gemma":[0.3346564,0.01649064,0.007827719,0.006146321,0.6238238,0.01105512],"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":[0.00001409947,0.000002447678,0.00004095937,0.0001582187,0.000003149088,0.00003209231,0.00001349721,0.000005748334,0.00002752186,0.00009200352,0.9952357,0.004374606],"study_design_scores_gemma":[0.00008515293,0.00002935183,0.0006380322,0.001042997,0.00003319014,0.0004555785,0.0001664065,0.0001942078,0.0002296502,0.0009183458,0.9961467,0.00006046868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00014959,0.002546998,0.001262404,0.1063996,0.8771846,0.0006031371,0.0009094788,0.0006431695,0.01030099],"genre_scores_gemma":[0.00575985,0.006895288,0.003294042,0.1190609,0.589814,0.002467281,0.002698506,0.002101644,0.2679084],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2179964,"threshold_uncertainty_score":0.7292705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930971042287917,"score_gpt":0.2508203749761083,"score_spread":0.2315106645532292,"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."}}