{"id":"W2573742935","doi":"","title":"On Competition for Undergraduate Co-Op Placements: A Graph Mining Approach.","year":2016,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competition (biology); Computer science; Graph; Theoretical 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":[0.001458024,0.0006873777,0.0008483754,0.008054025,0.001218782,0.002336379,0.002491323,0.001268431,0.009806172],"category_scores_gemma":[0.01402763,0.0002554895,0.001011025,0.007917207,0.0004823552,0.00244004,0.001310267,0.001453406,0.001935234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328031,"about_ca_system_score_gemma":0.002522678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0287823,"about_ca_topic_score_gemma":0.06026271,"domain_scores_codex":[0.998319,0.0003597965,0.00008392405,0.000423704,0.0004948859,0.000318814],"domain_scores_gemma":[0.99192,0.004048169,0.001184505,0.0005323375,0.001091763,0.001223289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008672549,0.002223841,0.6355593,0.0005350827,0.000622824,0.0006031214,0.0006513273,0.04794251,0.000980522,0.02384005,0.08451561,0.2016585],"study_design_scores_gemma":[0.0001427752,0.0004634166,0.3258864,0.0002881324,0.0003216359,0.0006612925,0.005333612,0.5469683,0.001719001,0.07882689,0.03927637,0.0001121745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537158,0.001931521,0.05359625,0.004351098,0.0003695868,0.0005858955,0.05127748,0.0009727348,0.03319962],"genre_scores_gemma":[0.9524541,0.0003138128,0.02108616,0.0001750976,0.0000855879,0.0001469086,0.02024247,0.0000949711,0.005400913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0287823,"threshold_uncertainty_score":0.05722958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201283518887017,"score_gpt":0.3367316759755484,"score_spread":0.2647188407866783,"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."}}