{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002066305,0.0002950809,0.0003270135,0.00009049893,0.0005028044,0.0001517107,0.001369199,0.00007617754,0.0007612766],"category_scores_gemma":[0.0008333545,0.0002612499,0.0001224208,0.0005675782,0.001210951,0.000332273,0.0004635116,0.0002848147,0.002264693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296916,"about_ca_system_score_gemma":0.0002023528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001528145,"about_ca_topic_score_gemma":0.000001489642,"domain_scores_codex":[0.9966828,0.00000223203,0.0003360203,0.001233464,0.0008971912,0.0008482937],"domain_scores_gemma":[0.9958605,0.00006277105,0.000149357,0.0009054106,0.002715762,0.0003061671],"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":[0.00003352376,0.0001540884,0.0000132701,0.0001081473,0.000007424353,1.136134e-7,0.00008217208,0.0001310803,0.9805821,0.001108743,0.003251286,0.01452812],"study_design_scores_gemma":[0.0007160486,0.00001717046,0.00001226259,0.00006413622,0.00002427329,3.189718e-7,0.00003892086,0.1229985,0.7606648,0.03212847,0.08282018,0.0005149069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07831565,0.0001382619,0.1961789,0.00005200243,0.003831947,0.001409096,0.00005900706,0.0003494218,0.7196658],"genre_scores_gemma":[0.9833354,0.000008617708,0.003741381,0.000396744,0.0006327667,0.0003732677,0.00001851006,0.00003812554,0.01145517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9050198,"threshold_uncertainty_score":0.999984,"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."}}