{"id":"W4235318188","doi":"10.5539/mas.v11n10p208","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 10","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":"Library science; Engineering ethics; Computer science; 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":[0.03002089,0.002664357,0.005193104,0.008073882,0.004848243,0.009451112,0.005136165,0.01545413,0.09896075],"category_scores_gemma":[0.3542555,0.001581008,0.004139659,0.00343974,0.002641839,0.00649594,0.003575181,0.0119782,0.06028211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005053077,"about_ca_system_score_gemma":0.01026458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083173,"about_ca_topic_score_gemma":0.006098337,"domain_scores_codex":[0.9672889,0.005939237,0.006542544,0.002051,0.01666412,0.001514178],"domain_scores_gemma":[0.3366345,0.03164944,0.01115509,0.005138347,0.6062219,0.00920084],"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":[0.00002142382,0.000003045596,0.00004723057,0.000280247,0.00000660309,0.00004795485,0.00002322703,0.000005964109,0.00003066097,0.000106124,0.996758,0.002669533],"study_design_scores_gemma":[0.000107143,0.00002790113,0.0005679555,0.001682863,0.00005819733,0.0005883928,0.0002234313,0.0001730722,0.0002140821,0.001098366,0.9951708,0.00008795475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007183658,0.002310603,0.0006964556,0.1100846,0.883585,0.0002833826,0.000384082,0.0002521366,0.002331792],"genre_scores_gemma":[0.002742352,0.006812422,0.00181359,0.1657636,0.7597563,0.001333129,0.001160311,0.0007326211,0.05988559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09896075,"threshold_uncertainty_score":0.3310567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028504392241863,"score_gpt":0.3030923816481922,"score_spread":0.2828073377257736,"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."}}