{"id":"W4244609415","doi":"10.5539/esr.v8n2p64","title":"Reviewer Acknowledgements for Earth Science Research, Vol. 8, No. 2","year":2019,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; York University","keywords":"Library science; Palestine; Political science; History; Computer science; Ancient history","routes":{"ca_aff":false,"ca_fund":true,"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":["metaresearch","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.02126848,0.0002012176,0.0003415634,0.0006854357,0.003510738,0.0006092201,0.002458543,0.00006859951,0.01116215],"category_scores_gemma":[0.06738749,0.0001326191,0.000105012,0.007089481,0.008328972,0.001094658,0.0006098993,0.0007690489,0.1213363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002083087,"about_ca_system_score_gemma":0.0008689893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004084684,"about_ca_topic_score_gemma":0.000433748,"domain_scores_codex":[0.9903548,0.0002978444,0.0003263629,0.001375205,0.004740322,0.002905405],"domain_scores_gemma":[0.9553779,0.001159428,0.00005242375,0.0007310876,0.04197638,0.0007027497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002786394,0.0004820769,0.3817637,0.000521028,0.0000338211,0.00001259706,0.0007110332,0.0002875644,0.006908608,0.002308034,0.1283136,0.4783793],"study_design_scores_gemma":[0.0003143435,0.001312249,0.4847308,0.00008576091,0.000001982615,3.324832e-7,0.0001798021,0.003821909,0.002206559,0.004169349,0.5029333,0.0002436428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8333621,0.00153069,0.00002841064,0.0006251144,0.01086594,0.003053194,0.00004922926,0.00008508364,0.1504002],"genre_scores_gemma":[0.8861851,0.0005022418,0.002226299,0.0002387066,0.002857509,0.00004843582,0.00001324218,0.000008105216,0.1079203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4781356,"threshold_uncertainty_score":0.9977866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199700329627751,"score_gpt":0.3837880513980258,"score_spread":0.2638180184352507,"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."}}