{"id":"W4241365497","doi":"10.5539/mas.v10n2p221","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 2","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":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002023503,0.0002775533,0.0002761849,0.00008577664,0.0006285822,0.0001075555,0.001303527,0.00006780743,0.001216366],"category_scores_gemma":[0.00205533,0.0001944186,0.000110768,0.0005534113,0.001575689,0.0003384918,0.0004279701,0.0001457586,0.001851201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723797,"about_ca_system_score_gemma":0.0002013209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.735618e-7,"about_ca_topic_score_gemma":4.960418e-7,"domain_scores_codex":[0.9968626,0.000002261673,0.0003276716,0.001159019,0.000811838,0.0008366139],"domain_scores_gemma":[0.9948545,0.0000899024,0.0001411913,0.0008061725,0.003768954,0.0003392686],"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":[0.00003549267,0.0001237399,0.000002081025,0.00004458423,0.000006052015,1.369653e-7,0.00003672075,0.000008244621,0.9322051,0.001077578,0.007063464,0.05939684],"study_design_scores_gemma":[0.0005620318,0.00001090831,0.000003753486,0.00006468323,0.00001705931,2.160776e-7,0.000008474132,0.01157313,0.8137553,0.04223505,0.1314196,0.0003497424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01553324,0.00009334557,0.602093,0.0001035697,0.002100484,0.0007476372,0.00008266122,0.0003356445,0.3789104],"genre_scores_gemma":[0.9705029,0.00001265093,0.004698434,0.0002947669,0.0009461835,0.0005702245,0.000008277255,0.00003969493,0.02292692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549696,"threshold_uncertainty_score":0.9996967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434908956835916,"score_gpt":0.2763372939431695,"score_spread":0.2619882043748103,"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."}}