{"id":"W4412596951","doi":"10.1287/orsc.2021.15846","title":"Virtually Even: Status Equalizing in Distributed Organizations","year":2025,"lang":"en","type":"article","venue":"Organization Science","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Knowledge management; Socially distributed cognition; Industrial organization; Process management; Computer science; Psychology; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006034592,0.0003006754,0.0002899733,0.001188424,0.01047555,0.007038416,0.001249001,0.001012215,0.005034491],"category_scores_gemma":[0.01341921,0.0002594235,0.0002917576,0.0005446878,0.01941316,0.009199772,0.01201223,0.002486614,0.0002605382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003483333,"about_ca_system_score_gemma":0.002909993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004236923,"about_ca_topic_score_gemma":0.004763894,"domain_scores_codex":[0.9932256,0.003919666,0.0001819432,0.0007220196,0.0009816161,0.0009690421],"domain_scores_gemma":[0.9930113,0.002410399,0.001267105,0.001051929,0.0005874336,0.001671867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008865773,0.0001055205,0.01587923,0.00009245906,0.00001174628,0.0008671625,0.821106,0.0001713454,0.00272365,0.1140515,0.0014069,0.04349592],"study_design_scores_gemma":[0.00003027986,0.000176735,0.01643807,0.0002165727,0.00002097539,0.00056974,0.8376566,0.0006743631,0.001048474,0.06417346,0.07894131,0.00005342168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151148,0.0003060698,0.0093007,0.003989499,0.0001000352,0.00006632283,0.00001829562,0.0000535361,0.07105071],"genre_scores_gemma":[0.9971311,0.00003796289,0.0004874976,0.0001785426,0.00001072447,0.00001332233,0.000005727513,0.00000999198,0.002125135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047555,"threshold_uncertainty_score":0.03191441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927174459085368,"score_gpt":0.3241834737113191,"score_spread":0.2849117291204654,"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."}}