{"id":"W7029751585","doi":"","title":"La littératie numérique au Canada de l'inclusion à la transformation : mémoire présenté dans le cadre de la consultation : Stratégie sur l'économie numérique du Canada","year":2010,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Legislation; Field (mathematics); Work (physics)","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":[0.003741851,0.0005453986,0.0007854676,0.005589243,0.01339005,0.01210623,0.001879009,0.001813292,0.01869342],"category_scores_gemma":[0.009521316,0.0003964901,0.0004780691,0.01390446,0.008068107,0.004541102,0.002983971,0.003352236,0.0004432787],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1856262,"about_ca_system_score_gemma":0.3565129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966959,"about_ca_topic_score_gemma":0.9979228,"domain_scores_codex":[0.9950758,0.0005196108,0.0001635138,0.0003200176,0.002584249,0.001336823],"domain_scores_gemma":[0.9932244,0.00141501,0.0003322105,0.0001835671,0.003790247,0.001054422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005970921,0.00006031496,0.01312466,0.0008179263,0.00004388492,0.000252861,0.02556923,0.000980243,0.0003093554,0.559012,0.1918538,0.207916],"study_design_scores_gemma":[0.00001269144,0.00001509834,0.04462704,0.001152965,0.00003274346,0.0001146079,0.02213012,0.0004924627,0.0003374912,0.0128304,0.9181645,0.00008986484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1016319,0.1357666,0.004290361,0.3324386,0.00259141,0.0001545735,0.004446486,0.0002079533,0.418472],"genre_scores_gemma":[0.6880337,0.1035855,0.005713033,0.01184371,0.0008557561,0.0002005297,0.001087457,0.000185878,0.1884944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8143738,"threshold_uncertainty_score":0.9445581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006999616821448931,"score_gpt":0.200553186678588,"score_spread":0.193553569857139,"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."}}