{"id":"W4295935452","doi":"10.48009/3_iis_2022_106","title":"UTILIZING DATA SCIENCE AND ANALYTICS IN PREDICTING CAMPUS PLACEMENT","year":2022,"lang":"en","type":"article","venue":"Issues in Information Systems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"","keywords":"Analytics; Data science; Data analysis; Computer science; Data mining","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":[0.003945094,0.001009548,0.0005291419,0.009643903,0.0006543261,0.004042216,0.0004633951,0.001192242,0.00151928],"category_scores_gemma":[0.01689675,0.0002487938,0.0007529294,0.005994014,0.000509305,0.002558149,0.001068958,0.001556861,0.0009313381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340824,"about_ca_system_score_gemma":0.001594844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007391009,"about_ca_topic_score_gemma":0.01140191,"domain_scores_codex":[0.9982205,0.0006506965,0.0002165782,0.0002115273,0.0005287459,0.0001719226],"domain_scores_gemma":[0.984784,0.01027576,0.001329741,0.0007456284,0.002076704,0.0007880814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002299341,0.001203541,0.7577168,0.0002578305,0.0002792488,0.0001660061,0.000211292,0.03300193,0.00124442,0.002385549,0.00704313,0.1962603],"study_design_scores_gemma":[0.00004570341,0.0006865911,0.2368722,0.0003559536,0.0001629398,0.0001843555,0.002491761,0.7147905,0.005346509,0.02708094,0.01185214,0.0001304533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703849,0.00228444,0.09322189,0.006235621,0.0003678134,0.0006188632,0.01021309,0.001378157,0.01529514],"genre_scores_gemma":[0.9504918,0.0009180114,0.04128746,0.0002445758,0.0001297423,0.0001219901,0.005654097,0.00003476447,0.001117523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009643903,"threshold_uncertainty_score":0.02086389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617059324450222,"score_gpt":0.2775435070464539,"score_spread":0.2513729138019516,"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."}}