{"id":"W4255106105","doi":"10.5539/cis.v7n2p141","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 7, No. 2","year":2014,"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":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001735217,0.0001542077,0.0001740639,0.000560244,0.0006267937,0.002979399,0.001097073,0.00003596573,0.000006361829],"category_scores_gemma":[0.001379578,0.0001299329,0.00002810314,0.0009336881,0.0006165346,0.08467196,0.0010791,0.00006534225,0.0004519599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004080737,"about_ca_system_score_gemma":0.0001717725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001270053,"about_ca_topic_score_gemma":1.842414e-7,"domain_scores_codex":[0.9984428,0.00001126076,0.0004676025,0.0002941025,0.0004113229,0.0003729539],"domain_scores_gemma":[0.9909122,0.00006409003,0.0001980719,0.0004469056,0.008128397,0.0002503234],"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":[0.000002376291,0.00001079766,0.0002262587,0.0001034244,0.0000021614,1.520795e-8,0.000513176,0.00003675864,0.00000297795,0.05054319,0.04375138,0.9048075],"study_design_scores_gemma":[0.0003031717,0.0001010708,0.005298785,0.00002957888,0.000001337793,0.000001583739,0.000003267829,0.4695934,0.00004942696,0.0003026151,0.5241824,0.0001333959],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001760546,0.00002222508,0.9803277,0.00009357028,0.007470015,0.0003863196,0.000008952688,0.00008353121,0.009847171],"genre_scores_gemma":[0.1204647,0.0004732068,0.8405915,0.03436767,0.003633085,0.0001511396,0.0001338088,0.00001378817,0.0001710271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9046741,"threshold_uncertainty_score":0.9980556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675241153322003,"score_gpt":0.247088043509337,"score_spread":0.230335631976117,"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."}}