{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000855209,0.0006553637,0.000602846,0.006056784,0.0008716015,0.001129328,0.0009636726,0.0007867732,0.001880534],"category_scores_gemma":[0.007061264,0.0002219465,0.0007764869,0.006179871,0.0004989033,0.001469661,0.0008125625,0.0008408,0.0005190176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008376752,"about_ca_system_score_gemma":0.0007761924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007562332,"about_ca_topic_score_gemma":0.01467844,"domain_scores_codex":[0.9989449,0.0002679052,0.00007902152,0.0003387237,0.0002770816,0.00009231841],"domain_scores_gemma":[0.9937503,0.003813585,0.001073066,0.0005278852,0.0005626065,0.0002726257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005874083,0.00109469,0.2751056,0.001367484,0.001001897,0.001039497,0.001567063,0.1741916,0.01588569,0.0947025,0.0497909,0.3836658],"study_design_scores_gemma":[0.00005890036,0.0001564727,0.06328423,0.000112165,0.0001319949,0.0007559272,0.001427685,0.7195157,0.004708472,0.1739484,0.03583704,0.00006305307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4566106,0.003194134,0.4933665,0.002752216,0.0001487668,0.0003839627,0.02677071,0.00221357,0.01455963],"genre_scores_gemma":[0.8388771,0.0005324947,0.1417159,0.0002838248,0.00009154597,0.0002240915,0.01646975,0.0001298514,0.001675548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007562332,"threshold_uncertainty_score":0.01503664,"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."}}