{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03078481,0.002738058,0.005831772,0.008329434,0.005006832,0.009703045,0.005335783,0.01578891,0.09978329],"category_scores_gemma":[0.3538193,0.001680872,0.004165526,0.003673767,0.002559917,0.006786743,0.003699271,0.01193667,0.06018494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004717865,"about_ca_system_score_gemma":0.009937203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003875579,"about_ca_topic_score_gemma":0.005761831,"domain_scores_codex":[0.9657885,0.00639855,0.0069041,0.002243012,0.01710806,0.001557755],"domain_scores_gemma":[0.3256188,0.02761144,0.01064828,0.005231839,0.6216816,0.009207928],"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":[0.00002343455,0.000003478142,0.00004875565,0.0003168048,0.000007424305,0.00004884067,0.00002616033,0.00000622338,0.00003377501,0.000108196,0.9964069,0.002970085],"study_design_scores_gemma":[0.0001197658,0.00003155832,0.0006168931,0.001853761,0.00006418292,0.0006181478,0.0002374045,0.0001944444,0.000232282,0.001167077,0.9947667,0.00009774425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007782455,0.002596048,0.0007884243,0.1119135,0.8813786,0.0003011238,0.0004144336,0.0002998199,0.002230362],"genre_scores_gemma":[0.00288379,0.007244089,0.002100923,0.1660364,0.7577441,0.001426737,0.001250349,0.0008410302,0.06047251],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09978329,"threshold_uncertainty_score":0.3338084,"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."}}