{"id":"W3091335838","doi":"","title":"Quebec Information Technology : Promoting Local and International Competence, Culture, and Citizenship","year":2016,"lang":"en","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Educational Practices and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Service-learning; Competence (human resources); Knowledge management; Flexibility (engineering); Skepticism; Linguistic competence; Communicative competence; Pedagogy; Public relations; Political science; Sociology; Computer science; Psychology; Management; Linguistics","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":[0.001154703,0.0002034375,0.0001360008,0.001241693,0.007221918,0.004674835,0.0005983767,0.000851738,0.01553883],"category_scores_gemma":[0.003446337,0.0001208853,0.0001502484,0.002035272,0.001914566,0.001784697,0.001160392,0.001198293,0.0007307011],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04793558,"about_ca_system_score_gemma":0.05475281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907665,"about_ca_topic_score_gemma":0.9947783,"domain_scores_codex":[0.9992281,0.0001823276,0.00002137497,0.00008545724,0.000231224,0.0002515652],"domain_scores_gemma":[0.9977044,0.0004611615,0.0001172622,0.00009103236,0.0009161803,0.0007099134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000103363,0.0002693004,0.07408962,0.000535996,0.00005463757,0.000854925,0.04004606,0.001386876,0.003102388,0.2474729,0.2223846,0.4096993],"study_design_scores_gemma":[0.000027449,0.00007183519,0.1808674,0.0005046471,0.00003784417,0.0002019563,0.03432896,0.002007021,0.001233894,0.004694283,0.7759464,0.00007824812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3138893,0.007855288,0.005172144,0.08346517,0.0003754819,0.0001631368,0.002027628,0.000545063,0.5865068],"genre_scores_gemma":[0.903763,0.002125218,0.001993994,0.002533461,0.00002966971,0.00007224196,0.0004801613,0.00005447692,0.08894785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9520644,"threshold_uncertainty_score":0.3477986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214429702289694,"score_gpt":0.2656170491617897,"score_spread":0.2534727521388928,"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."}}