{"id":"W2614699712","doi":"10.1145/3068943.3068946","title":"Graph Mining to Characterize Competition for Employment","year":2017,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Workforce; Internship; Analytics; Computer science; Graph; Competition (biology); Data science; Theoretical computer science; Political 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":[0.00008078645,0.00007521154,0.0001239955,0.00003789646,0.0002865196,0.0001359165,0.0001945773,0.000009433748,0.0004528227],"category_scores_gemma":[0.000002208748,0.0000701626,0.0001024508,0.00002260003,0.00001322877,0.00007726447,0.00007511664,0.00002113564,0.00001439792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007479633,"about_ca_system_score_gemma":0.000005212773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001549993,"about_ca_topic_score_gemma":0.00002865082,"domain_scores_codex":[0.999538,0.000005990272,0.0001133354,0.0001483762,0.00005578093,0.0001385366],"domain_scores_gemma":[0.9994586,0.00001905017,0.0000790682,0.0003518984,0.00004100426,0.00005044162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004616768,0.0002205123,0.1380923,0.00000945586,0.0002483513,4.99244e-7,0.0002576087,0.00002012031,0.01380819,0.6086061,0.02165495,0.2170358],"study_design_scores_gemma":[0.001915851,0.0007502513,0.3955792,0.000221576,0.0002574419,6.158389e-7,0.0004167299,0.004838167,0.05265185,0.1330408,0.40878,0.00154746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5308267,0.000001346517,0.4483456,0.0008074807,0.00007167365,0.0003406786,0.00001783904,0.0000766785,0.019512],"genre_scores_gemma":[0.9840806,2.508315e-7,0.01425929,0.0001028747,0.0002817444,0.0001358607,0.0000518803,0.00000899184,0.001078576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4755653,"threshold_uncertainty_score":0.4958091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734675057068466,"score_gpt":0.3092794660238742,"score_spread":0.2719327154531895,"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."}}