{"id":"W4255618230","doi":"10.5539/mas.v13n3p179","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 3","year":2019,"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; Library science; Engineering ethics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02937563,0.002663602,0.005422377,0.007991332,0.005098193,0.009666801,0.005454334,0.01736162,0.1009136],"category_scores_gemma":[0.3111365,0.001571647,0.004645776,0.003646675,0.002700632,0.005947837,0.003496477,0.0121532,0.06098988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004953142,"about_ca_system_score_gemma":0.01019718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869049,"about_ca_topic_score_gemma":0.005594159,"domain_scores_codex":[0.9686207,0.005462062,0.00636071,0.001920637,0.01619944,0.001436455],"domain_scores_gemma":[0.3626781,0.02741271,0.01063944,0.005336307,0.5851085,0.008825087],"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":[0.00002066236,0.00000333069,0.00004702366,0.0002644976,0.000007370602,0.00005578411,0.00002389034,0.000006891372,0.00003488977,0.0001138612,0.9966128,0.002808835],"study_design_scores_gemma":[0.0001170177,0.00002807438,0.0005407997,0.001683363,0.00006419652,0.0006639043,0.0002069277,0.0002133573,0.0002428252,0.00123859,0.9949108,0.00009011004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008407085,0.002410487,0.0009087292,0.1167967,0.8760222,0.0003422064,0.0003930848,0.0003454552,0.002697055],"genre_scores_gemma":[0.003150468,0.007422119,0.002418114,0.1889536,0.7332668,0.001579017,0.001197941,0.001008152,0.06100378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8990864,"threshold_uncertainty_score":0.3375896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109947558769332,"score_gpt":0.2691967124234046,"score_spread":0.2580972368357113,"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."}}