{"id":"W4232227746","doi":"10.5539/mas.v12n3p184","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 3","year":2018,"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":[0.00021584,0.000281988,0.0002780854,0.00009075861,0.0009931561,0.0001589324,0.001374836,0.00007164236,0.0006148761],"category_scores_gemma":[0.001491813,0.0002485902,0.0001006544,0.0006419086,0.002593201,0.0002931312,0.0004725759,0.000228062,0.00137863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002176482,"about_ca_system_score_gemma":0.0002115787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.867133e-7,"about_ca_topic_score_gemma":0.00000183191,"domain_scores_codex":[0.996793,0.000002180156,0.000328873,0.001182825,0.0008308195,0.0008622545],"domain_scores_gemma":[0.9939313,0.00004918535,0.0001404588,0.0008270565,0.004716358,0.0003356717],"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":[0.00003577135,0.0001481391,0.000003059914,0.00005279868,0.000006709566,1.150277e-7,0.0001172118,0.00001172313,0.9671155,0.0009447455,0.006288699,0.02527551],"study_design_scores_gemma":[0.0004078653,0.00001878449,0.000005890608,0.00003877542,0.00001985486,2.613727e-7,0.00001875671,0.06672486,0.7986088,0.0376247,0.09617949,0.0003519109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02249323,0.0000645934,0.4339656,0.00003810276,0.002949524,0.0007227882,0.00004488373,0.0003017783,0.5394195],"genre_scores_gemma":[0.9831791,0.000005816699,0.008163176,0.0005019057,0.001899505,0.0004011583,0.00001289603,0.00003660919,0.005799832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9606858,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650375215475431,"score_gpt":0.2868384109705105,"score_spread":0.2703346588157562,"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."}}