{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008831048,0.0001905748,0.0001688532,0.0005531304,0.001222772,0.001592053,0.0003634432,0.000764958,0.01581683],"category_scores_gemma":[0.00433962,0.0001633612,0.0002700558,0.0004096793,0.0009180686,0.001181316,0.0006671263,0.001104537,0.0009288759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483983,"about_ca_system_score_gemma":0.0009270762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516173,"about_ca_topic_score_gemma":0.03697661,"domain_scores_codex":[0.9995623,0.0001053709,0.00001699006,0.00006318797,0.0001004213,0.0001516678],"domain_scores_gemma":[0.9972857,0.0006891788,0.0007157197,0.000112617,0.0001925373,0.001004143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000865395,0.0006059803,0.907002,0.00009591825,0.000102794,0.0003190041,0.01721286,0.00007183198,0.00344311,0.00417712,0.00486432,0.06123961],"study_design_scores_gemma":[0.00001430898,0.00008512371,0.9857364,0.00005695295,0.00003020067,0.0001089021,0.01030539,0.00008560297,0.0002320891,0.000929445,0.00240381,0.00001179899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982513,0.0006995985,0.0001234389,0.002645932,0.0001068191,0.00001129582,0.0001948636,0.000004964137,0.01370003],"genre_scores_gemma":[0.9940612,0.0004404445,0.0001119652,0.0004847631,0.00004811716,0.000008913641,0.00009561742,0.000008101656,0.004740883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581683,"threshold_uncertainty_score":0.05291259,"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."}}