{"id":"W4391146291","doi":"10.4103/0970-0218.393941","title":"IJCM team gratefully acknowledges the contribution of following reviewers in preparation of Volume 46","year":2024,"lang":"en","type":"article","venue":"Indian Journal of Community Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Library science; Computer science; Physics; Thermodynamics","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2095221,0.0001487826,0.002633055,0.0007080609,0.0001036306,0.00008430827,0.001630684,0.00006408683,0.0008899613],"category_scores_gemma":[0.07773166,0.0000591171,0.0009985423,0.001888644,0.0001843148,0.0003037112,0.00006625518,0.0006611524,0.00005685888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005656293,"about_ca_system_score_gemma":0.0002067726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004230194,"about_ca_topic_score_gemma":0.0002040614,"domain_scores_codex":[0.9678548,0.01972409,0.009324561,0.000114541,0.002844325,0.0001376976],"domain_scores_gemma":[0.9839339,0.007000007,0.005230955,0.001621945,0.002121009,0.00009218859],"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":[0.0002122367,0.0005857049,0.1557391,0.001815271,0.002822568,0.0001280253,0.1780055,0.000565659,0.005793985,0.00361526,0.4535019,0.1972149],"study_design_scores_gemma":[0.003937905,0.004794028,0.1045523,0.03246583,0.00440914,0.0007186573,0.09730013,0.005929353,0.001631216,0.05640839,0.6872205,0.0006326566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546859,0.03360073,0.003146813,0.00461582,0.001007167,0.0004686205,0.000004644166,0.000001695051,0.002468586],"genre_scores_gemma":[0.9988068,0.000454834,0.0001250321,0.00007417422,0.0001087327,0.000002795712,0.00000410304,0.000004843125,0.0004186635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337186,"threshold_uncertainty_score":0.9744452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4549141001171964,"score_gpt":0.5313726145217336,"score_spread":0.07645851440453716,"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."}}