{"id":"W4250885202","doi":"10.5539/mas.v11n1p274","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 1","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":"Engineering ethics; Library science; 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":[0.0376997,0.002685157,0.005691212,0.009447859,0.005660397,0.01025201,0.005774968,0.01738662,0.09024638],"category_scores_gemma":[0.4015648,0.001690983,0.004368625,0.003905198,0.002808055,0.007196887,0.0040547,0.01306257,0.05274596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005775735,"about_ca_system_score_gemma":0.01121662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653932,"about_ca_topic_score_gemma":0.005635195,"domain_scores_codex":[0.9602406,0.007830971,0.008135167,0.00274453,0.01935073,0.001698044],"domain_scores_gemma":[0.3015209,0.03716121,0.01280199,0.006095652,0.6331576,0.009262593],"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":[0.00002044672,0.000003349666,0.00004864181,0.0003452799,0.000007442574,0.00004634751,0.00003136879,0.000007153768,0.00003098066,0.0001249437,0.9964725,0.002861658],"study_design_scores_gemma":[0.0001018637,0.00002827052,0.0005339635,0.002120541,0.00006106374,0.0005391036,0.0002362407,0.0001591335,0.0001856155,0.001176576,0.9947705,0.00008716482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007264422,0.002960532,0.000684549,0.1365708,0.8566769,0.0002947123,0.0003942652,0.0002533369,0.002092329],"genre_scores_gemma":[0.002589718,0.007794649,0.001948144,0.1828651,0.756042,0.001485511,0.00113423,0.0007806384,0.04536005],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09024638,"threshold_uncertainty_score":0.3019042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435557768391786,"score_gpt":0.2757243399136194,"score_spread":0.2613687622297015,"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."}}