{"id":"W7112707368","doi":"","title":"Post-Secondary Student Choices and the Labour Shortage in Canada’s Information and Communication Technology Sector","year":2018,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Promotion (chess); Occupational training; Information technology","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":[0.001568173,0.0001661272,0.0003878499,0.001910943,0.007907771,0.003551919,0.001313427,0.001123736,0.0122383],"category_scores_gemma":[0.00389688,0.0003222192,0.0002847201,0.003893844,0.002502313,0.0008944546,0.002880726,0.001635241,0.0008542788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03780401,"about_ca_system_score_gemma":0.07004562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819939,"about_ca_topic_score_gemma":0.9925244,"domain_scores_codex":[0.9976773,0.0001643894,0.00005058171,0.00009797939,0.0004893936,0.001520435],"domain_scores_gemma":[0.9923784,0.0006611332,0.001185497,0.00009862295,0.001586022,0.004090333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003257624,0.0003243448,0.8817453,0.0001318473,0.00002405326,0.0005551967,0.05700179,0.0003506745,0.0002993701,0.006646327,0.0145644,0.03803097],"study_design_scores_gemma":[0.00001994777,0.0000607661,0.8703929,0.000181366,0.000008685764,0.0000519011,0.1092612,0.0003148655,0.00008439337,0.0006110565,0.01898697,0.00002593535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840772,0.000598921,0.00004626382,0.00448563,0.0000336851,0.00002365748,0.0006372135,0.000004103321,0.0100933],"genre_scores_gemma":[0.9887215,0.0004367759,0.00002872654,0.0004072018,0.00001502137,0.00001390949,0.0002238817,0.000004189862,0.01014885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03780401,"threshold_uncertainty_score":0.2742885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006766736386621232,"score_gpt":0.2044168743142465,"score_spread":0.1976501379276253,"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."}}