{"id":"W4235381050","doi":"10.5539/mas.v11n3p133","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 3","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":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002023696,0.000279798,0.0002794375,0.00008693052,0.0006379246,0.000108802,0.001310652,0.00006769314,0.0005295732],"category_scores_gemma":[0.001856654,0.0001959774,0.0001116669,0.0005605412,0.001591773,0.0003445421,0.0004293092,0.0001400146,0.000952579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721777,"about_ca_system_score_gemma":0.0001987162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.966222e-7,"about_ca_topic_score_gemma":0.000001184279,"domain_scores_codex":[0.99683,0.000002275162,0.0003307922,0.001167098,0.0008188853,0.0008509036],"domain_scores_gemma":[0.9951348,0.00009052957,0.0001416654,0.000809011,0.003479969,0.0003440224],"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":[0.00002361856,0.0001264851,0.000006150094,0.00004744305,0.000005196069,1.494903e-7,0.00004123768,0.000008812224,0.9527556,0.001523341,0.004379324,0.04108262],"study_design_scores_gemma":[0.0005539299,0.000008146724,0.000005578102,0.00006714566,0.00001679774,2.40763e-7,0.000009745138,0.01114842,0.8504652,0.04345758,0.09391964,0.0003475224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03348918,0.00008614954,0.7564701,0.0001301458,0.002549242,0.000813677,0.00008656791,0.0003556394,0.2060193],"genre_scores_gemma":[0.9854743,0.00001171962,0.00466466,0.0003112364,0.0008619904,0.0005162368,0.000006515694,0.0000358963,0.00811737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9519852,"threshold_uncertainty_score":0.9998253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409346084714772,"score_gpt":0.2752941654059691,"score_spread":0.2612007045588213,"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."}}