{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01853271,0.002097208,0.001816172,0.006824546,0.003937529,0.01264401,0.002493888,0.00606019,0.1209036],"category_scores_gemma":[0.1864587,0.001019014,0.001458415,0.00390875,0.001213219,0.006257962,0.004019375,0.005387324,0.1194373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004168322,"about_ca_system_score_gemma":0.01642352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616994,"about_ca_topic_score_gemma":0.006992741,"domain_scores_codex":[0.9706731,0.005742673,0.00350082,0.003586606,0.0151924,0.001304415],"domain_scores_gemma":[0.6678476,0.01106178,0.01135406,0.005471585,0.2844815,0.01978355],"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":[0.0000168218,0.000003598718,0.0001315531,0.0001386337,0.000005226385,0.00005756093,0.00007482987,0.000008074414,0.00007738213,0.0002419609,0.9899139,0.00933032],"study_design_scores_gemma":[0.00001141321,0.000009052836,0.0003218986,0.0003125097,0.00000862101,0.0003389276,0.0002435783,0.00003856001,0.00005943757,0.0004165705,0.9982203,0.00001914085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006211619,0.01392027,0.002880219,0.1788722,0.7668956,0.0008598787,0.00255239,0.001398301,0.03199986],"genre_scores_gemma":[0.01521703,0.01609453,0.009308273,0.200895,0.288937,0.002825711,0.005008186,0.002987099,0.4587273],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.987356,"threshold_uncertainty_score":0.4044627,"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."}}