{"id":"W4237530203","doi":"10.5539/mas.v10n9p274","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 9","year":2016,"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":"Engineering ethics; Library science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002035214,0.0002776238,0.000276215,0.00008583825,0.0006288265,0.0001075738,0.001302974,0.00006779715,0.001185491],"category_scores_gemma":[0.002058702,0.0001944574,0.0001107946,0.0005536996,0.001576143,0.000338595,0.0004277338,0.0001457329,0.001847783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723671,"about_ca_system_score_gemma":0.0002017411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.66959e-7,"about_ca_topic_score_gemma":4.990547e-7,"domain_scores_codex":[0.9968615,0.000002261821,0.0003277708,0.001159451,0.0008121265,0.0008369449],"domain_scores_gemma":[0.9948521,0.00009041069,0.0001410308,0.000806526,0.00377066,0.0003393047],"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":[0.00003576033,0.0001240069,0.000002150326,0.00004468378,0.000006058216,1.357396e-7,0.00003681657,0.000008225926,0.9334909,0.001072349,0.006859577,0.05831939],"study_design_scores_gemma":[0.0005642446,0.00001095201,0.000003836573,0.00006566255,0.00001713341,2.163107e-7,0.000008563206,0.01173014,0.8196074,0.04252962,0.1251109,0.0003513088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01558466,0.00009189387,0.611347,0.0001031437,0.002070741,0.0007421114,0.00008081644,0.0003326184,0.369647],"genre_scores_gemma":[0.9709272,0.00001239725,0.004699559,0.0002922566,0.0009255861,0.0005612579,0.000007982611,0.0000393416,0.02253443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9553425,"threshold_uncertainty_score":0.9997275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462983703197056,"score_gpt":0.2766644225404536,"score_spread":0.2620345855084831,"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."}}