{"id":"W4293527408","doi":"10.5539/esr.v11n1p98","title":"Reviewer Acknowledgements for Earth Science Research, Vol. 11, No. 1","year":2022,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04261363,0.002395801,0.003394118,0.0117902,0.005798105,0.01284142,0.004492405,0.006479586,0.1203372],"category_scores_gemma":[0.3557726,0.001116139,0.002827321,0.006539051,0.002119111,0.007324865,0.004769368,0.007762041,0.08255037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005476417,"about_ca_system_score_gemma":0.0141639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253688,"about_ca_topic_score_gemma":0.004879116,"domain_scores_codex":[0.9529651,0.0100855,0.007304789,0.003783745,0.02407534,0.001785461],"domain_scores_gemma":[0.3296767,0.03024779,0.01296774,0.01209097,0.6004079,0.01460886],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001531136,0.000003696959,0.00008610051,0.0002188084,0.000006845569,0.00003489587,0.00007463397,0.000008203025,0.00003625252,0.0003092778,0.9922214,0.006984558],"study_design_scores_gemma":[0.00001470315,0.00001169633,0.0002938937,0.000625078,0.00001810118,0.0001684324,0.0002238089,0.00005666022,0.00006793223,0.0006382624,0.9978569,0.00002448643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001652341,0.004241776,0.002138487,0.1005831,0.8823217,0.0004881975,0.0009489551,0.0006728817,0.008439671],"genre_scores_gemma":[0.008347874,0.01433706,0.007604882,0.1064747,0.6683645,0.002719603,0.00413732,0.00431322,0.1837008],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9573864,"threshold_uncertainty_score":0.4025681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1566577309046726,"score_gpt":0.4350564601882099,"score_spread":0.2783987292835374,"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."}}