{"id":"W4244384435","doi":"10.5539/mas.v13n5p152","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 5","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":"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002013701,0.0002837146,0.0003159489,0.00008942101,0.0004912933,0.0001485986,0.001344002,0.00007248541,0.0007538319],"category_scores_gemma":[0.0008676209,0.0002509647,0.0001174171,0.0006765936,0.001202127,0.0003177367,0.0004479866,0.0002743833,0.002448729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231184,"about_ca_system_score_gemma":0.0002026408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001234985,"about_ca_topic_score_gemma":9.228609e-7,"domain_scores_codex":[0.9967713,0.000002060959,0.0003244587,0.001209308,0.0008734963,0.0008193342],"domain_scores_gemma":[0.9954461,0.00006051099,0.0001431232,0.0008838667,0.003172617,0.0002938049],"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":[0.000030478,0.0001459143,0.00001050382,0.0001040429,0.000006914199,1.057495e-7,0.00007553784,0.0001250883,0.9808633,0.001240658,0.002809883,0.01458757],"study_design_scores_gemma":[0.0006504667,0.00001520481,0.0000102419,0.00005761744,0.00002134697,2.781548e-7,0.00003601954,0.1201182,0.7805405,0.03222644,0.06585494,0.0004687348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107329,0.0001663575,0.2187785,0.00006029124,0.004297888,0.001536215,0.00006523292,0.0003896369,0.6639729],"genre_scores_gemma":[0.9861794,0.000007900663,0.00368755,0.0003826962,0.0005986571,0.0003562572,0.0000171197,0.00003591979,0.008734499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8754465,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110512595245055,"score_gpt":0.2693437698257532,"score_spread":0.2582386438733026,"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."}}