{"id":"W4238552309","doi":"10.5539/mas.v11n11p109","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 11","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":"Library science; Engineering ethics; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002378569,0.0003075183,0.0003291529,0.00007129008,0.002310864,0.0004488852,0.002572915,0.00007864045,0.000279711],"category_scores_gemma":[0.002569742,0.0002730968,0.000129163,0.0002543413,0.002255767,0.0004997043,0.0008066469,0.0002261795,0.0005225728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003914,"about_ca_system_score_gemma":0.0002067244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003377588,"about_ca_topic_score_gemma":0.000006402462,"domain_scores_codex":[0.996707,0.00000193794,0.000328264,0.001232429,0.0008617975,0.0008685373],"domain_scores_gemma":[0.9943925,0.0000464237,0.0002714538,0.001583835,0.003343668,0.0003620793],"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":[0.00001846303,0.0001538702,0.00002395928,0.00007784313,0.000005587607,3.069734e-7,0.00006510449,0.00003119394,0.9785069,0.001666489,0.003811269,0.01563903],"study_design_scores_gemma":[0.0005984869,0.000007802625,0.00003516671,0.00006301066,0.00002884494,3.230888e-7,0.00001859778,0.06606204,0.799107,0.03919178,0.09442207,0.0004648809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1035858,0.0001162376,0.373019,0.0001758439,0.005384056,0.00144602,0.0001146884,0.0004240993,0.5157343],"genre_scores_gemma":[0.9874308,0.000007845287,0.004908458,0.0002445804,0.0009512953,0.000444816,0.00001176778,0.00003510976,0.005965347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.883845,"threshold_uncertainty_score":0.9999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047244161337467,"score_gpt":0.3017830661468279,"score_spread":0.2813106245334532,"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."}}