{"id":"W3171251317","doi":"","title":"Stereotypes or competition? Analyzing certain gender preferences among employers","year":2002,"lang":"ru","type":"article","venue":"Социологические исследования","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Labour economics; Labor relations; Work (physics); Gender relations; Demographic economics; Production (economics); Business; Psychology; Economics; Sociology; Gender studies; Engineering","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006690715,0.0007913404,0.0007805464,0.001036916,0.0007431237,0.001531785,0.0008017287,0.0003553643,0.0285899],"category_scores_gemma":[0.0001659797,0.0007195277,0.0002673924,0.001537672,0.000333158,0.00378692,0.0003563011,0.0004973125,0.005873843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179474,"about_ca_system_score_gemma":0.0000825889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601082,"about_ca_topic_score_gemma":0.0004405687,"domain_scores_codex":[0.9958366,0.00006402385,0.001374035,0.001094572,0.0006170526,0.001013748],"domain_scores_gemma":[0.9977052,0.0001522761,0.0009978372,0.0005911929,0.0004723033,0.00008117281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002614114,0.0006713818,0.5629745,0.001187274,0.0009938007,0.00008869288,0.001152766,0.0003062073,0.00009850549,0.04346161,0.3680905,0.02071339],"study_design_scores_gemma":[0.003656598,0.0001332773,0.4821422,0.001171606,0.0005852936,0.00001704433,0.00330189,0.02772396,0.00008508449,0.008317296,0.469588,0.003277843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7621928,0.001040304,0.000397765,0.003210991,0.003166388,0.0009677022,0.0000224195,0.0004096689,0.2285919],"genre_scores_gemma":[0.9633203,0.0005128108,0.0002893282,0.002166274,0.002498876,0.00006532901,0.0002591903,0.0001122041,0.03077568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011275,"threshold_uncertainty_score":0.9995256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06928192778666359,"score_gpt":0.2358130131561954,"score_spread":0.1665310853695318,"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."}}