{"id":"W4252678637","doi":"10.5539/mas.v11n12p135","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 12","year":2017,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.0002312393,0.0002949758,0.0003149526,0.00006813813,0.002296869,0.0004397377,0.002494428,0.00007545394,0.0002861725],"category_scores_gemma":[0.002594838,0.0002616295,0.000123477,0.0001990808,0.002222763,0.0004956827,0.0007802029,0.0002412948,0.0005441534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969761,"about_ca_system_score_gemma":0.0001990361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002474573,"about_ca_topic_score_gemma":0.000004421152,"domain_scores_codex":[0.9968122,0.000001781997,0.0003147537,0.001186157,0.0008392351,0.000845915],"domain_scores_gemma":[0.9948189,0.00004472536,0.0002610062,0.001544027,0.002979088,0.0003523016],"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":[0.00002321438,0.0001443056,0.00001509235,0.00007316922,0.00000638086,2.629716e-7,0.00006502564,0.00002867099,0.9728517,0.001281519,0.00407553,0.02143515],"study_design_scores_gemma":[0.0006082729,0.000008920778,0.00003174258,0.00006151381,0.00002859101,3.036198e-7,0.0000167049,0.06767652,0.7904114,0.04450941,0.09618355,0.0004631288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03909664,0.00008596328,0.2802332,0.0001069256,0.004032194,0.001034901,0.00007675994,0.0003015256,0.6750319],"genre_scores_gemma":[0.9855782,0.000009033037,0.004967423,0.0002437047,0.001004689,0.0004438593,0.000011256,0.00003437778,0.007707442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9464816,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140432456758372,"score_gpt":0.3004568008223575,"score_spread":0.2790524762547738,"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."}}