{"id":"W4255618230","doi":"10.5539/mas.v13n3p179","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 3","year":2019,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002011206,0.0002836692,0.0003158266,0.00008938494,0.0004910399,0.0001485859,0.001343544,0.00007247625,0.0007661969],"category_scores_gemma":[0.000875943,0.000250915,0.0001173934,0.0006764685,0.001201916,0.0003176931,0.000447803,0.0002743608,0.002513043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238899,"about_ca_system_score_gemma":0.0002031476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001234836,"about_ca_topic_score_gemma":9.161552e-7,"domain_scores_codex":[0.9967718,0.000002059567,0.0003243584,0.001209046,0.0008734993,0.0008192653],"domain_scores_gemma":[0.9954143,0.00006047323,0.0001431062,0.0008835735,0.003204785,0.0002937615],"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":[0.00003060389,0.0001456993,0.00001050632,0.0001046979,0.000006907652,1.053089e-7,0.00007543412,0.0001251759,0.9809248,0.001197555,0.002814901,0.01456365],"study_design_scores_gemma":[0.0006484867,0.00001504313,0.000009964405,0.00005702496,0.00002103249,2.733895e-7,0.00003563473,0.1196079,0.778838,0.03184799,0.06845349,0.0004651321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1105397,0.0001657071,0.2178073,0.00005999338,0.004327427,0.001532818,0.00006623806,0.0003884876,0.6651124],"genre_scores_gemma":[0.9859293,0.00000791091,0.003688537,0.0003825476,0.0006050855,0.0003566942,0.00001718149,0.00003596791,0.00897682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8753896,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109947558769332,"score_gpt":0.2691967124234046,"score_spread":0.2580972368357113,"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."}}