{"id":"W4240438604","doi":"10.5539/mas.v9n11p283","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 9, No. 11","year":2015,"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":"Span (engineering); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002912031,0.0002789074,0.0002949477,0.00008843733,0.0005227961,0.0001563269,0.0013147,0.00006940358,0.0001790182],"category_scores_gemma":[0.002805643,0.0002458947,0.00009463817,0.0007291997,0.001300011,0.0003274111,0.0004693446,0.0002244489,0.0007679779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133007,"about_ca_system_score_gemma":0.0003530778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001590915,"about_ca_topic_score_gemma":0.000001698091,"domain_scores_codex":[0.9967793,0.000002565993,0.0003276068,0.001077584,0.001011833,0.0008011076],"domain_scores_gemma":[0.9920129,0.00004448526,0.0001381055,0.0007659948,0.006493255,0.0005452429],"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":[0.00003051954,0.0001787268,0.000007895256,0.0000532794,0.000005262986,2.130637e-7,0.0001447667,0.0001239793,0.973282,0.001090954,0.01242172,0.01266071],"study_design_scores_gemma":[0.0007588679,0.0000149033,0.000004648505,0.0000403473,0.00002631213,3.612109e-7,0.00005796614,0.104457,0.6955766,0.0619862,0.136611,0.0004658075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04269537,0.0001788274,0.5335338,0.00006670245,0.004768573,0.001072474,0.00006442548,0.0004482687,0.4171716],"genre_scores_gemma":[0.9843941,0.000004543221,0.008553096,0.000401948,0.001222124,0.0005004684,0.00001967062,0.00003837398,0.004865653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9416987,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592361193247854,"score_gpt":0.2940121775889617,"score_spread":0.2680885656564831,"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."}}