{"id":"W4245353992","doi":"10.5539/mas.v12n8p195","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 8","year":2018,"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; Computer science; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02923693,0.002667034,0.005210349,0.008204058,0.004819575,0.008847222,0.0055275,0.01606023,0.09381729],"category_scores_gemma":[0.3447156,0.001570092,0.003965768,0.003248342,0.002512882,0.006722543,0.003605768,0.01214487,0.05780113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004581704,"about_ca_system_score_gemma":0.008830749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214527,"about_ca_topic_score_gemma":0.004942978,"domain_scores_codex":[0.968851,0.005676779,0.006398506,0.002107305,0.01553867,0.001427802],"domain_scores_gemma":[0.3499247,0.0287085,0.01098759,0.0054527,0.5962049,0.008721742],"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":[0.00002250899,0.000003310272,0.00004886169,0.0002929535,0.00000721075,0.00005482122,0.00002816306,0.000006420019,0.00003706291,0.0001137917,0.9962388,0.003146191],"study_design_scores_gemma":[0.0001075329,0.00002812024,0.0005198126,0.001714768,0.00005841019,0.0006130929,0.0002235168,0.0001708124,0.0002049811,0.001096755,0.9951786,0.00008356165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008317189,0.00241209,0.0007368558,0.116312,0.8772816,0.0002692075,0.0003428317,0.000287443,0.002274793],"genre_scores_gemma":[0.002956465,0.006568459,0.00206002,0.1637189,0.7627312,0.001452557,0.001074304,0.0008219709,0.05861594],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9707631,"threshold_uncertainty_score":0.3138501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651654540572704,"score_gpt":0.2869922328885515,"score_spread":0.2704756874828244,"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."}}