{"id":"W4234443627","doi":"10.5539/mas.v12n11p426","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 11","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":"Engineering ethics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03116354,0.002617847,0.005439838,0.008073798,0.004938742,0.009410318,0.004951957,0.01446257,0.09949758],"category_scores_gemma":[0.3512461,0.001540621,0.004104671,0.003426462,0.002612126,0.00657802,0.003601927,0.01153703,0.05947223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004741904,"about_ca_system_score_gemma":0.00966702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613315,"about_ca_topic_score_gemma":0.005272951,"domain_scores_codex":[0.9658232,0.006364057,0.006961387,0.00216319,0.01721597,0.001472199],"domain_scores_gemma":[0.3230332,0.03037567,0.01058686,0.005387977,0.6217887,0.008827727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002213348,0.000003227641,0.00004941909,0.0003089916,0.000007170182,0.00005014101,0.00002943904,0.000006758387,0.00003487272,0.0001251558,0.9962854,0.003077216],"study_design_scores_gemma":[0.00009616141,0.00002768076,0.0005477125,0.00165474,0.00005875163,0.0005700851,0.0002397063,0.0001699241,0.0002130933,0.001093009,0.99524,0.00008917189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007778556,0.002545442,0.00085902,0.1119056,0.8812159,0.000295927,0.0003830456,0.0002888853,0.002428372],"genre_scores_gemma":[0.003005137,0.007444624,0.002173831,0.1587726,0.7602075,0.001381652,0.001225079,0.0008466886,0.0649429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09949758,"threshold_uncertainty_score":0.3328526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674697863811464,"score_gpt":0.2860200061689842,"score_spread":0.2692730275308695,"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."}}