{"id":"W2737649276","doi":"10.21125/edulearn.2017.0185","title":"ORGANIZATIONAL AND JOB TRANSFORMATIONS IN QUÉBEC'S UNIVERSITIES","year":2017,"lang":"en","type":"article","venue":"EDULEARN proceedings","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Knowledge management; Management; Political science; Engineering management; Operations research; Engineering; Economics","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":[0.001331602,0.0001805105,0.0002547236,0.001746987,0.009045988,0.004412543,0.001215374,0.001028782,0.01854363],"category_scores_gemma":[0.003439605,0.000162304,0.0003053387,0.003912454,0.001898918,0.001102614,0.001631832,0.001083024,0.001200773],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09146249,"about_ca_system_score_gemma":0.0703494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993141,"about_ca_topic_score_gemma":0.9976993,"domain_scores_codex":[0.9981685,0.0002548402,0.00003163349,0.0001389334,0.0003660959,0.001039953],"domain_scores_gemma":[0.9944079,0.0004894483,0.0004510583,0.0001522539,0.001600657,0.002898695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007514834,0.0007029214,0.5916904,0.0002211507,0.00010696,0.001203737,0.04945569,0.00368719,0.001892701,0.0297465,0.1429758,0.1775655],"study_design_scores_gemma":[0.00002417882,0.00004958712,0.8948977,0.0001239952,0.00001114908,0.00004312503,0.0414604,0.001291859,0.0001831155,0.0004955523,0.06137434,0.0000449969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258685,0.00132387,0.000332928,0.008985213,0.0001363807,0.00008057457,0.002796954,0.00007872653,0.06039686],"genre_scores_gemma":[0.9681017,0.0002105324,0.00009903828,0.0004173901,0.00001409974,0.00001780845,0.0004805931,0.00001785116,0.03064095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9085375,"threshold_uncertainty_score":0.6636099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419814913373337,"score_gpt":0.2741725516632032,"score_spread":0.2599744025294699,"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."}}