{"id":"W4235318188","doi":"10.5539/mas.v11n10p208","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 10","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Engineering ethics; Computer science; Engineering","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002294525,0.0002929702,0.0003122734,0.00006807262,0.002259457,0.000445474,0.002503944,0.00007581467,0.0006242839],"category_scores_gemma":[0.003229211,0.0002599659,0.0001226628,0.000239966,0.002222937,0.0004784154,0.0007778218,0.0002224548,0.0009378266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920879,"about_ca_system_score_gemma":0.0002054449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001748675,"about_ca_topic_score_gemma":0.000002642284,"domain_scores_codex":[0.9968409,0.000001754512,0.00031193,0.001187276,0.0008307452,0.0008273956],"domain_scores_gemma":[0.9937052,0.00004520378,0.0002599229,0.001548205,0.004096017,0.0003455201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002725235,0.000143583,0.000007292947,0.00007102571,0.000006181582,2.52899e-7,0.00005299182,0.00002673699,0.972164,0.001043165,0.006083005,0.02037455],"study_design_scores_gemma":[0.0005686765,0.000009079841,0.00001912266,0.00005453191,0.00002619977,2.539857e-7,0.00001389144,0.06627291,0.7741441,0.03635339,0.1221061,0.0004318013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04144534,0.00009647147,0.2233817,0.0001165568,0.00385381,0.001063892,0.00008599683,0.0003240981,0.7296322],"genre_scores_gemma":[0.979247,0.000007343605,0.004623921,0.0002088371,0.0009690834,0.0004514139,0.00001292125,0.00003498625,0.01444453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9378016,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028504392241863,"score_gpt":0.3030923816481922,"score_spread":0.2828073377257736,"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."}}