{"id":"W4401867895","doi":"10.53555/sfs.v10i1.2983","title":"\"Evaluating The Factors Influencing Employee Engagement In The Life Insurance Corporation\"","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Life insurance; Business; Employee engagement; Marketing; Actuarial science; Finance; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06117786,0.0000820527,0.0001658066,0.0002570406,0.00100454,0.0005978908,0.001519069,0.00004218471,0.00006772974],"category_scores_gemma":[0.01428736,0.00004577533,0.00004701169,0.003182221,0.001123504,0.001222995,0.0001152972,0.0004727257,0.00000688289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009058885,"about_ca_system_score_gemma":0.001246726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008994354,"about_ca_topic_score_gemma":0.02160874,"domain_scores_codex":[0.992685,0.004368653,0.0005358031,0.0001440823,0.001930261,0.00033623],"domain_scores_gemma":[0.994251,0.004952765,0.0003463109,0.0001373088,0.0002576078,0.00005507231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001228321,0.00001239813,0.9524183,0.00000284521,0.000004266563,0.00001018941,0.04491226,0.0004940398,0.00001207684,0.000475304,0.001089492,0.0005564957],"study_design_scores_gemma":[0.0001132744,0.0001291968,0.9336109,0.00002777792,0.000001083246,4.42191e-7,0.06307063,0.00003086178,0.000004620069,0.001437627,0.001518351,0.0000552663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899487,0.0000835219,0.000002665977,0.004367711,0.0006246051,0.000200965,0.000004378255,0.000009290353,0.004758175],"genre_scores_gemma":[0.9993406,0.0001408093,0.00005998423,0.00017635,0.0000903744,0.000005957272,6.514958e-7,0.000003233008,0.0001820435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0468905,"threshold_uncertainty_score":0.9976048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7172650732743602,"score_gpt":0.4605394202110289,"score_spread":0.2567256530633312,"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."}}