{"id":"W2749403371","doi":"10.5539/cis.v10n3p54","title":"Research and Application of Data Mining in College Students' Employment Based on Association Rules","year":2017,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Apriori algorithm; Association rule learning; Ideal (ethics); Affect (linguistics); Object (grammar); Association (psychology); A priori and a posteriori; Warning system; Research Object; Data science; Data mining; Knowledge management; Artificial intelligence; Business; Law; Political science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767394,0.00003538568,0.00005805063,0.0003927492,0.0003963043,0.0005975236,0.0006578401,0.00002334289,9.033838e-7],"category_scores_gemma":[0.0001406671,0.00003071212,0.000002874676,0.0002113563,0.0001679513,0.007329409,0.0008350542,0.00004748338,0.000007289255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002521172,"about_ca_system_score_gemma":0.00001519702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007187195,"about_ca_topic_score_gemma":0.00001184872,"domain_scores_codex":[0.999242,0.000002557721,0.0001400802,0.0001065869,0.0004096567,0.00009908941],"domain_scores_gemma":[0.9993035,0.00004197497,0.0001785618,0.0003071806,0.0001640752,0.000004752118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001483099,0.0000503183,0.7435909,0.00007094667,0.000001929826,1.70349e-7,0.0001800779,0.00006967595,0.00002882341,0.03903021,0.001227623,0.2157345],"study_design_scores_gemma":[0.0002298109,0.00001426447,0.6657153,0.00002902126,8.807201e-7,4.649802e-8,0.0001660022,0.3292243,0.000022305,0.0003745717,0.004188262,0.00003516016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867225,0.000004803248,0.007682398,0.0009937081,0.00005828156,0.0002038235,0.000006515852,0.00002352285,0.004304464],"genre_scores_gemma":[0.9984265,0.000007489529,0.001326004,0.0001901527,0.00002861989,0.000005348949,0.00001007028,8.535951e-7,0.000004948764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3291547,"threshold_uncertainty_score":0.5761935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07739512983354174,"score_gpt":0.3672311175547498,"score_spread":0.2898359877212081,"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."}}