{"meta":{"query_hash":"a9bd5b40bf0c","filters":{"venue":"International Journal of Innovative Research in Information Security"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a9bd5b40bf0c","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Innovative+Research+in+Information+Security"},"results":[{"id":"W4386899490","doi":"10.26562/ijiris.2023.v0904.02","title":"Fringe Benefits Effects on Employee Productivity in the Public Sector Tamilnadu Water Supply and Drainage Board Namakkal","year":2023,"lang":"en","type":"article","venue":"International Journal of Innovative Research in Information Security","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Employee benefits; Productivity; Business; Pension; Relocation; Work (physics); Compensation of employees; Employee morale; Turnover; Marketing; Public sector; Health care; Job security; Compensation (psychology); Economics; Finance; Economic growth; Management","score_opus":0.22113874132784925,"score_gpt":0.4625466499236525,"score_spread":0.24140790859580327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386899490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97336686,0.00004203661,0.00006590228,0.023591435,0.00078745326,0.00036145712,0.000032167256,0.000012564296,0.0017401108],"genre_scores_gemma":[0.9992139,0.000038211416,0.000043418753,0.00036769616,0.00026324202,0.000033157085,0.000010102606,0.000006418495,0.000023878716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9914234,0.0010300847,0.0012861951,0.00024840047,0.0055264663,0.00048540207],"domain_scores_gemma":[0.98848027,0.005314417,0.00036784183,0.00028591623,0.00548043,0.00007111835],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.024738878,0.00016861943,0.0003165293,0.00452812,0.00021920266,0.0009971776,0.0013587406,0.00009571329,0.000029221777],"category_scores_gemma":[0.0155894,0.000093333256,0.000072323666,0.0037448085,0.00028323117,0.0032033522,0.0004562952,0.0012406231,0.0001374267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010587102,0.00038342632,0.42377573,0.000059781836,0.00012334151,0.0005374405,0.15647797,0.00014445194,0.00028770886,0.06347913,0.022817425,0.33085486],"study_design_scores_gemma":[0.0017055485,0.00048852805,0.8821953,0.0003093301,0.0000013701806,0.00007143074,0.018745147,0.00013842076,0.002022572,0.07609762,0.01802772,0.0001970274],"about_ca_topic_score_codex":0.000051325143,"about_ca_topic_score_gemma":0.00012311895,"teacher_disagreement_score":0.45841953,"about_ca_system_score_codex":0.00029097588,"about_ca_system_score_gemma":0.00017198439,"threshold_uncertainty_score":0.9927027},"labels":[],"label_agreement":null}]}