{"id":"W4242760356","doi":"10.5539/mas.v13n6p161","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 6","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":[0.0002013769,0.0002837178,0.0003159456,0.00008941931,0.0004912129,0.0001486671,0.001344113,0.00007248195,0.0007478967],"category_scores_gemma":[0.0008676578,0.0002509754,0.0001174088,0.0006766294,0.001202195,0.000317763,0.0004480059,0.0002744031,0.00245382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222847,"about_ca_system_score_gemma":0.000202673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001247088,"about_ca_topic_score_gemma":9.380902e-7,"domain_scores_codex":[0.9967712,0.000002061044,0.0003244655,0.001209328,0.0008734997,0.0008194135],"domain_scores_gemma":[0.9954453,0.00006052098,0.0001431283,0.0008838911,0.003173319,0.0002938238],"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":[0.00003062176,0.0001465744,0.00001047945,0.0001040529,0.000006915015,1.057134e-7,0.00007575547,0.0001234278,0.9808834,0.001250937,0.002789335,0.01457835],"study_design_scores_gemma":[0.0006519547,0.00001523181,0.00001019274,0.0000576903,0.00002138504,2.784429e-7,0.00003613708,0.1197015,0.7797068,0.03244106,0.06688813,0.0004696193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1093665,0.0001658091,0.2178747,0.00005996461,0.004271504,0.001528665,0.00006463684,0.000387173,0.666281],"genre_scores_gemma":[0.9861299,0.000007888593,0.003685954,0.0003826393,0.0005986029,0.000356607,0.00001703624,0.0000359158,0.008785449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8767633,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110097182989001,"score_gpt":0.2693062876561008,"score_spread":0.2582053158262108,"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."}}