{"id":"W7027890871","doi":"","title":"Dishonouring the graduates","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Key (lock); Higher education; Subject (documents)","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":[0.003108074,0.0004318986,0.0003553692,0.0007175435,0.008425939,0.005446443,0.0007967941,0.001780284,0.08590948],"category_scores_gemma":[0.01272979,0.0002927093,0.0003640275,0.0008273784,0.004405742,0.002819174,0.006556999,0.005360725,0.03985468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697194,"about_ca_system_score_gemma":0.007317374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605124,"about_ca_topic_score_gemma":0.06813385,"domain_scores_codex":[0.9966922,0.0006189985,0.00009030521,0.0004508219,0.001185065,0.0009625986],"domain_scores_gemma":[0.9909639,0.0007763568,0.0005397061,0.001146415,0.002011469,0.004562052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001169209,0.0001135038,0.01497532,0.0001519079,0.00001278587,0.0009148775,0.04858547,0.00003971194,0.004282779,0.0358374,0.7507389,0.1442305],"study_design_scores_gemma":[0.00001058293,0.00006964226,0.00968771,0.0001143651,0.00001029384,0.0003296737,0.02747315,0.00003555585,0.0006639658,0.003468344,0.9581075,0.00002919007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1330951,0.001699101,0.004066017,0.1909699,0.01510833,0.000213102,0.001076433,0.0008526404,0.6529194],"genre_scores_gemma":[0.1718893,0.0007450199,0.001256352,0.0406635,0.001094466,0.00005551115,0.0003833459,0.0004365503,0.7834759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08590948,"threshold_uncertainty_score":0.2873958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190785954715784,"score_gpt":0.2726680078896068,"score_spread":0.240760148342449,"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."}}