{"id":"W4253129556","doi":"10.5539/mas.v13n12p104","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 12","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02791237,0.002590369,0.005637753,0.008132771,0.004858473,0.009186308,0.004956179,0.01447687,0.112087],"category_scores_gemma":[0.3156953,0.001578481,0.00396988,0.00362114,0.002397138,0.006085817,0.00341755,0.0110021,0.06638265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004196569,"about_ca_system_score_gemma":0.009202816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736175,"about_ca_topic_score_gemma":0.005390889,"domain_scores_codex":[0.9694889,0.005537266,0.006036542,0.001897475,0.01566401,0.001375791],"domain_scores_gemma":[0.3620035,0.025156,0.009529224,0.005046878,0.5895461,0.00871827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002210448,0.000003285344,0.00004324481,0.0002831792,0.000006772611,0.00004486391,0.00002310533,0.000006158422,0.00003405023,0.0001072196,0.9964589,0.002966929],"study_design_scores_gemma":[0.0001065668,0.00002877274,0.0005660647,0.001629298,0.00005742429,0.0005755217,0.0002095803,0.0001899769,0.0002381106,0.001109506,0.9951996,0.00008957653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008529497,0.002692187,0.0009507228,0.1111381,0.8810541,0.0003376488,0.000462037,0.0003468847,0.002932977],"genre_scores_gemma":[0.003073604,0.007934079,0.002375594,0.1623435,0.742099,0.001526564,0.001460307,0.0009766937,0.07821058],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.112087,"threshold_uncertainty_score":0.3749683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210090127732909,"score_gpt":0.2679189736248761,"score_spread":0.255818072347547,"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."}}