{"id":"W4240496304","doi":"10.5539/mas.v12n2p181","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 12, No. 2","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":[0.0002148258,0.0002819414,0.0002781225,0.00009073151,0.0009933052,0.0001589469,0.001374937,0.00007164852,0.0006184161],"category_scores_gemma":[0.001475299,0.000248574,0.0001006422,0.0006416657,0.002592993,0.0002931062,0.0004728372,0.0002280568,0.001350862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168917,"about_ca_system_score_gemma":0.0002105843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.855808e-7,"about_ca_topic_score_gemma":0.000001830308,"domain_scores_codex":[0.996794,0.000002181454,0.000328873,0.001182482,0.0008304651,0.0008620198],"domain_scores_gemma":[0.9939802,0.00004894332,0.0001406237,0.0008267487,0.004667788,0.000335656],"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":[0.00003540477,0.0001482345,0.000002966373,0.00005242727,0.000006718246,1.167069e-7,0.0001173573,0.00001177834,0.9666259,0.0009665325,0.006446221,0.02558631],"study_design_scores_gemma":[0.0004072886,0.00001891062,0.000005865332,0.00003860376,0.00002006157,2.656348e-7,0.00001875824,0.0665766,0.7963947,0.03798989,0.09817602,0.0003530146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02226174,0.00006542532,0.4261337,0.00003819496,0.002947345,0.0007236256,0.00004472959,0.0003029261,0.5474823],"genre_scores_gemma":[0.9832646,0.000005907051,0.008121026,0.0005045323,0.001913579,0.0004027996,0.00001321884,0.00003672598,0.005737671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9610028,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621264488005072,"score_gpt":0.2866826069280355,"score_spread":0.2704699620479848,"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."}}