{"id":"W4230900466","doi":"10.5539/mas.v10n8p272","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 8","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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002268739,0.0002813958,0.0003004893,0.00006608437,0.002273464,0.0004343356,0.002462021,0.00007191102,0.0006352169],"category_scores_gemma":[0.003087491,0.0002493655,0.0001175037,0.0002299609,0.002207517,0.0004692449,0.0007590167,0.0002413109,0.001146395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916863,"about_ca_system_score_gemma":0.0002028756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001265906,"about_ca_topic_score_gemma":0.000001170824,"domain_scores_codex":[0.9969303,0.000001628111,0.0003007868,0.001154335,0.0008093257,0.0008036089],"domain_scores_gemma":[0.9940383,0.00004277569,0.0002515368,0.001517364,0.003815848,0.0003341538],"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":[0.00003225325,0.0001353249,0.000004217113,0.00006703298,0.000006987963,2.270975e-7,0.00005372677,0.00002518059,0.9609421,0.001004238,0.005611804,0.03211691],"study_design_scores_gemma":[0.0005831663,0.00001083421,0.00001869816,0.00005562697,0.00002641384,2.429824e-7,0.00001379606,0.07132678,0.7709894,0.04515249,0.1113828,0.0004397588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01981268,0.00008421968,0.1890785,0.00007671698,0.002863016,0.0007898023,0.00006259523,0.0002402313,0.7869923],"genre_scores_gemma":[0.9773337,0.000008359229,0.004789473,0.0002110701,0.001002523,0.0004482728,0.0000122315,0.00003418298,0.01616021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957521,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072624790841258,"score_gpt":0.3043745952713558,"score_spread":0.2836483473629432,"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."}}