{"id":"W4253172684","doi":"10.5539/mas.v11n4p117","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 4","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":"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002257187,0.0002835865,0.0003040178,0.00006696958,0.002307509,0.0004394327,0.002476568,0.00007179541,0.0002779845],"category_scores_gemma":[0.002747753,0.000251332,0.0001184349,0.0002328938,0.002229726,0.00047761,0.0007618931,0.0002317587,0.0005770854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908165,"about_ca_system_score_gemma":0.0001990164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002004347,"about_ca_topic_score_gemma":0.000002785209,"domain_scores_codex":[0.9968996,0.000001637452,0.0003036614,0.001161934,0.0008161136,0.0008170343],"domain_scores_gemma":[0.9943833,0.00004290694,0.0002526965,0.001522482,0.003459815,0.0003387975],"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":[0.00002124762,0.0001364032,0.000012025,0.00006976791,0.00000591881,2.477945e-7,0.0000594936,0.00002628663,0.9731215,0.001438909,0.003505314,0.02160293],"study_design_scores_gemma":[0.0005575814,0.000007994952,0.00002690351,0.00005575462,0.00002550411,2.670821e-7,0.00001540209,0.06658876,0.8085178,0.04556,0.07821856,0.0004254501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05493974,0.0001032614,0.3183168,0.0001259637,0.004555273,0.001129393,0.00008660629,0.0003373642,0.6204056],"genre_scores_gemma":[0.9876057,0.000008294825,0.004932775,0.0002335315,0.0009599481,0.0004251079,0.0000103698,0.00003238588,0.005791909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9326659,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006305309109444,"score_gpt":0.3030069170995887,"score_spread":0.2829438640084942,"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."}}