{"id":"W4254123414","doi":"10.5539/mas.v12n1p181","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 1","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":"Computer science; Library science; Engineering ethics; 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"],"consensus_categories":[],"category_scores_codex":[0.0002275884,0.0002834433,0.0003035563,0.00006622283,0.002308744,0.0004330521,0.002469655,0.00007256235,0.0002994812],"category_scores_gemma":[0.002779736,0.0002511067,0.0001183842,0.0001898512,0.002227491,0.0004760321,0.000761773,0.0002682629,0.0006606578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926733,"about_ca_system_score_gemma":0.0001995884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001635055,"about_ca_topic_score_gemma":0.000002044095,"domain_scores_codex":[0.9968982,0.000001636003,0.0003034484,0.001161051,0.0008191403,0.0008165032],"domain_scores_gemma":[0.994763,0.00004266871,0.0002526361,0.001522723,0.003080058,0.0003389475],"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":[0.00002782898,0.0001387701,0.000008547016,0.00006778477,0.000007130989,2.399695e-7,0.00006442919,0.00002605952,0.9619359,0.001070433,0.00347964,0.03317323],"study_design_scores_gemma":[0.0006230971,0.00001065648,0.00003415853,0.00006105243,0.00002795354,2.854912e-7,0.00001605468,0.0728934,0.7989373,0.05404406,0.07289003,0.0004619469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02441002,0.00008053932,0.2546629,0.00007958697,0.003411012,0.0008651575,0.00006492579,0.0002530405,0.7161728],"genre_scores_gemma":[0.9861541,0.000009909556,0.005172276,0.0002449171,0.0009822936,0.0004432641,0.00001065043,0.00003308798,0.006949491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9617441,"threshold_uncertainty_score":0.9999941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177251116752716,"score_gpt":0.3014015173044376,"score_spread":0.2796290061369104,"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."}}