{"id":"W3109413738","doi":"10.5465/amd.2020.0075","title":"Scouting and Schmoozing: A Gender Difference in Networking during Job Search","year":2020,"lang":"en","type":"article","venue":"Academy of Management Discoveries","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004919432,0.00008261721,0.0001467955,0.00005574818,0.0003232093,0.00006940703,0.0002343356,0.00005497524,0.00003175289],"category_scores_gemma":[0.00002399942,0.00008929491,0.00002860206,0.0002715981,0.000244404,0.0003442988,0.0003416103,0.0001744969,0.00000281673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002947624,"about_ca_system_score_gemma":0.00000898319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865473,"about_ca_topic_score_gemma":0.00004255357,"domain_scores_codex":[0.9988005,0.0001325915,0.0001762795,0.0002409288,0.0003500279,0.0002997449],"domain_scores_gemma":[0.9997813,0.00003894295,0.00005608011,0.0000410799,0.000006606028,0.00007600642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006812491,0.00002251067,0.7878805,0.000545167,0.00006004194,0.000007295722,0.1026266,0.0001642228,0.0001670615,0.1050508,0.00009637456,0.003311357],"study_design_scores_gemma":[0.0004075128,0.00001137566,0.9184813,0.00008307833,0.00001991692,8.427058e-8,0.07652047,0.0001072366,0.0001806492,0.00236516,0.0016578,0.0001653565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811023,0.0002544626,0.0001490949,0.003875217,0.00003008127,0.0001867314,0.000002158899,0.00002646296,0.0143735],"genre_scores_gemma":[0.9980949,0.001083879,0.0001567551,0.0003689348,0.00008129203,0.000002416896,5.622579e-7,0.000004058302,0.0002072597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306009,"threshold_uncertainty_score":0.3641341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839659482048811,"score_gpt":0.3254471119317281,"score_spread":0.141481163726847,"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."}}