{"id":"W4247262289","doi":"10.5539/mas.v13n10p162","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 10","year":2019,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002050339,0.0002930745,0.0003242317,0.00009041192,0.0004946001,0.0001536904,0.001374429,0.00007654173,0.001659789],"category_scores_gemma":[0.001037537,0.0002595888,0.0001216135,0.00068409,0.001211046,0.0003206963,0.0004620966,0.0002625776,0.003898252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239918,"about_ca_system_score_gemma":0.0002088684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001079875,"about_ca_topic_score_gemma":8.902774e-7,"domain_scores_codex":[0.9967123,0.000002197605,0.000333006,0.001234628,0.000888116,0.0008297227],"domain_scores_gemma":[0.9948453,0.00006344238,0.0001487368,0.0009078608,0.003734331,0.0003002728],"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":[0.00003929179,0.000153071,0.000006402112,0.0001048109,0.000007180952,1.090864e-7,0.00006685794,0.0001220432,0.9799702,0.0009010499,0.004846848,0.01378214],"study_design_scores_gemma":[0.0006671041,0.00001741572,0.000007361559,0.00005665857,0.00002216567,2.658983e-7,0.00003225303,0.1198507,0.7473959,0.02611014,0.1053616,0.0004784043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08124582,0.0001517989,0.1520125,0.00005545747,0.003583021,0.001417173,0.00006467437,0.0003674369,0.7611021],"genre_scores_gemma":[0.9736239,0.000007028433,0.00349343,0.000341079,0.0006122864,0.0003808385,0.00002131667,0.00003892485,0.02148115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8923782,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140250639565712,"score_gpt":0.2701106957518485,"score_spread":0.2587081893561914,"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."}}