{"id":"W2216249712","doi":"","title":"University selection in Maritime Canada: studies of millennial students across four universities suggest that it should not be business as usual","year":2014,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Higher education; Political science; Public relations; Business; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033973,0.0001545601,0.0003806366,0.001833682,0.009266621,0.003772265,0.001272859,0.0005290769,0.003610554],"category_scores_gemma":[0.01063516,0.0001811086,0.0002615502,0.005169641,0.002299197,0.001029387,0.002469145,0.001130392,0.0003567099],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01658916,"about_ca_system_score_gemma":0.04569723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9275163,"about_ca_topic_score_gemma":0.9763614,"domain_scores_codex":[0.9969264,0.0004840715,0.00009971458,0.0002643389,0.0009247332,0.001300825],"domain_scores_gemma":[0.9871587,0.001575221,0.002019614,0.0003592657,0.002561549,0.006325718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076322,0.0000965013,0.9334292,0.00005865197,0.0000315482,0.0001164029,0.02842489,0.0000895475,0.0002001455,0.002507288,0.002891713,0.03204657],"study_design_scores_gemma":[0.000009937678,0.00002598944,0.941057,0.00008431051,0.00001072161,0.00003040132,0.05231637,0.0001727333,0.0001298686,0.000350372,0.005793629,0.0000185661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917325,0.0003801013,0.0001428454,0.002016924,0.00002338644,0.00003333257,0.0001867527,0.000004173203,0.005479881],"genre_scores_gemma":[0.9980512,0.0002406874,0.00008165532,0.0002423411,0.00000516869,0.00001052088,0.00008605009,0.00000408119,0.001278309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9834108,"threshold_uncertainty_score":0.145821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896077973540337,"score_gpt":0.2837796543836766,"score_spread":0.2448188746482733,"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."}}