{"id":"W4247949800","doi":"10.5539/esr.v7n1p137","title":"Reviewer Acknowledgements for Earth Science Research, Vol. 7, No. 1","year":2018,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Earth (classical element); Engineering ethics; Sociology; Political science; Engineering; Computer science; Physics; Astronomy","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":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.04944491,0.0001699817,0.0003857853,0.002242817,0.0048595,0.00112067,0.002566457,0.00006225106,0.01402278],"category_scores_gemma":[0.0906672,0.000168321,0.0001054908,0.005825052,0.01617567,0.001584778,0.001610616,0.0003994866,0.2352637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255596,"about_ca_system_score_gemma":0.0007697821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008142152,"about_ca_topic_score_gemma":0.00004618753,"domain_scores_codex":[0.9943187,0.0000580674,0.0005966858,0.001766781,0.0008072597,0.00245257],"domain_scores_gemma":[0.9609298,0.0002602679,0.0001388883,0.001159428,0.03700825,0.0005033374],"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":[0.00002144056,0.000110847,0.002280786,0.00004865913,0.00001279834,6.931374e-7,0.0007873742,0.000001447959,0.0005218075,0.02970804,0.9621553,0.004350777],"study_design_scores_gemma":[0.0003383466,0.0003091754,0.004187948,0.00005181608,9.797478e-7,1.83609e-7,0.0003726469,0.001890032,0.002542995,0.005204956,0.9848865,0.0002144508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03851737,0.001535047,0.0003512729,0.0002998586,0.04663971,0.001947328,0.0002165292,0.00006537971,0.9104275],"genre_scores_gemma":[0.08350107,0.0008152837,0.005196788,0.0001936742,0.006123432,0.0002440211,0.000003863433,0.0000368371,0.903885],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2212409,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2690036710877171,"score_gpt":0.4049310046410824,"score_spread":0.1359273335533653,"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."}}