{"id":"W4237530203","doi":"10.5539/mas.v10n9p274","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 9","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":"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":[0.02842787,0.002620216,0.005132384,0.007868096,0.004934842,0.009333607,0.005318028,0.01609101,0.09637192],"category_scores_gemma":[0.3272532,0.001530113,0.004244021,0.003212075,0.002502873,0.00631904,0.00359314,0.0117389,0.05867039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004720784,"about_ca_system_score_gemma":0.008924968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408589,"about_ca_topic_score_gemma":0.004976994,"domain_scores_codex":[0.968143,0.005745112,0.006763659,0.002122759,0.0157947,0.001430766],"domain_scores_gemma":[0.3581162,0.02736241,0.01127723,0.005048801,0.5892299,0.008965423],"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":[0.00002377105,0.000003523188,0.00005242588,0.0003026044,0.00000776566,0.00005997149,0.0000247876,0.000006825066,0.00003925259,0.0001147478,0.9964752,0.002889194],"study_design_scores_gemma":[0.0001135783,0.00002735662,0.0005591831,0.001642007,0.00006131025,0.0006225388,0.0002083502,0.0001873968,0.0002270004,0.001053957,0.9952105,0.00008690666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007302177,0.002202884,0.0006852323,0.1066086,0.8873307,0.0002836894,0.0003585085,0.0002492326,0.002208189],"genre_scores_gemma":[0.002902001,0.006554986,0.001839781,0.1573498,0.7734694,0.001241269,0.001103203,0.0007161616,0.05482339],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09637192,"threshold_uncertainty_score":0.3223962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462983703197056,"score_gpt":0.2766644225404536,"score_spread":0.2620345855084831,"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."}}