{"id":"W4233673049","doi":"10.5539/mas.v12n9p254","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 9","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02966577,0.002579375,0.005119509,0.007901907,0.005034331,0.009414621,0.005364008,0.01563032,0.09889679],"category_scores_gemma":[0.3384435,0.001488948,0.00412684,0.003303492,0.002527988,0.006547597,0.003704336,0.01159449,0.06136435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004667858,"about_ca_system_score_gemma":0.009180416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389223,"about_ca_topic_score_gemma":0.004995103,"domain_scores_codex":[0.9670954,0.005945495,0.006934415,0.002191528,0.01637008,0.001463136],"domain_scores_gemma":[0.3454324,0.02718804,0.01098865,0.00519125,0.6021934,0.009006242],"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":[0.00002222469,0.000003352986,0.00005037907,0.0002926723,0.000007464473,0.00005716389,0.0000274869,0.000006452716,0.00003771585,0.0001217258,0.996344,0.003029389],"study_design_scores_gemma":[0.0001034379,0.00002650856,0.000525525,0.00164408,0.0000589824,0.0005972091,0.0002232927,0.000176708,0.0002175875,0.001080713,0.9952614,0.00008467028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007427445,0.002305209,0.0007645927,0.1098456,0.8838044,0.0002762419,0.0003576947,0.0002741356,0.002297818],"genre_scores_gemma":[0.003108575,0.006915177,0.002067956,0.1622868,0.7628163,0.001297496,0.001155653,0.0008416002,0.0595104],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09889679,"threshold_uncertainty_score":0.3308427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165250054105912,"score_gpt":0.2870095878965758,"score_spread":0.2704845824859846,"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."}}