{"id":"W4239022681","doi":"10.5539/mas.v10n12p256","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 12","year":2016,"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","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002088378,0.0002888772,0.0002865971,0.00008693415,0.0006408509,0.0001104494,0.001328929,0.00007134062,0.00119545],"category_scores_gemma":[0.001944966,0.000203348,0.0001156385,0.0004659258,0.001581201,0.0003536869,0.0004430563,0.0001530623,0.001713373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794318,"about_ca_system_score_gemma":0.0002015869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.732414e-7,"about_ca_topic_score_gemma":8.171939e-7,"domain_scores_codex":[0.9967731,0.00000244533,0.0003393952,0.001183642,0.0008352209,0.0008662608],"domain_scores_gemma":[0.9953623,0.0000930655,0.0001472169,0.0008275848,0.003217022,0.0003528334],"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":[0.00003914194,0.0001310685,0.000002787605,0.00004707404,0.000006508492,1.449831e-7,0.00004043549,0.000008995346,0.9337516,0.0009773788,0.007819192,0.05717571],"study_design_scores_gemma":[0.0006017149,0.0000120112,0.000004549074,0.00007050709,0.00001887731,2.4064e-7,0.000009172548,0.01198808,0.7985097,0.04066703,0.1477434,0.0003746794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01179499,0.00008013616,0.5570955,0.00009138468,0.001945573,0.0007169273,0.00007578123,0.0003109222,0.4278888],"genre_scores_gemma":[0.9637917,0.00001364542,0.004831052,0.0003097937,0.0009884207,0.0005980506,0.00000892275,0.00004243901,0.02941601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9519967,"threshold_uncertainty_score":0.9997176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581815185404585,"score_gpt":0.2749680788876054,"score_spread":0.2591499270335595,"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."}}