{"id":"W4387943298","doi":"10.4103/2221-1691.372932","title":"Acknowledgment to Reviewers, 2022","year":2023,"lang":"en","type":"article","venue":"Asian Pacific Journal of Tropical Biomedicine","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005718343,0.0001630342,0.0006723111,0.001257125,0.0001142504,0.0002669534,0.002298245,0.0001225176,0.001103987],"category_scores_gemma":[0.01400471,0.00009269364,0.0002158734,0.004594348,0.0001452771,0.0005379432,0.0002906471,0.0006162227,0.002345442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009450225,"about_ca_system_score_gemma":0.0001415178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001706245,"about_ca_topic_score_gemma":0.000001140676,"domain_scores_codex":[0.9945292,0.0002764759,0.001574544,0.0003392821,0.002867253,0.000413213],"domain_scores_gemma":[0.9968956,0.0006160381,0.0005596246,0.0005049552,0.0006820215,0.0007417785],"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":[0.00004373405,0.00002610435,0.007097259,0.000005462051,0.00002245087,0.0001062039,0.000397352,0.000002269141,0.0004620261,0.0002239164,0.7996935,0.1919198],"study_design_scores_gemma":[0.0006225578,0.0005650533,0.03572491,0.0002029687,0.00002524042,0.0001119672,0.004366599,0.00003740625,0.0001005753,0.004686737,0.9534262,0.000129815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1510333,0.006813062,0.01683451,0.7270848,0.02153616,0.0008828968,0.00006083514,0.0001688656,0.07558551],"genre_scores_gemma":[0.9797899,0.0006535955,0.0007501537,0.0016667,0.002571271,0.00000283345,0.000005348654,0.00001955777,0.01454068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8287566,"threshold_uncertainty_score":0.9998091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06602341463143346,"score_gpt":0.4010548098042286,"score_spread":0.3350313951727951,"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."}}