{"id":"W2927276909","doi":"","title":"Projection par microsimulation du niveau de littératie de la population adulte canadienne : regard sur la population immigrante et son intégration sur le marché de l'emploi canadien","year":2018,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001048201,0.00059988,0.0005091373,0.0005795612,0.0004330309,0.0009625449,0.0006803523,0.0004052107,0.0035231],"category_scores_gemma":[0.003297473,0.0002312051,0.001209874,0.000651389,0.0004616166,0.0002964199,0.0007706636,0.0006475056,0.0002558469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268097,"about_ca_system_score_gemma":0.006255409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5998188,"about_ca_topic_score_gemma":0.3928319,"domain_scores_codex":[0.9996014,0.000135312,0.00001003048,0.00008332012,0.00005147651,0.0001184441],"domain_scores_gemma":[0.9987687,0.000693093,0.00009564597,0.0000660366,0.0003009687,0.0000755564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003307756,0.00008095374,0.2297565,0.0001242887,0.0004830273,0.0001183851,0.0006746727,0.7294017,0.001631592,0.008948,0.001369125,0.02708099],"study_design_scores_gemma":[0.00001585416,0.0001671772,0.1267759,0.00005048217,0.000140116,0.00003214159,0.001245037,0.8656425,0.00147829,0.001742515,0.002667466,0.00004241791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681807,0.0001792453,0.0266569,0.0002603637,0.00002583665,0.00005136087,0.001655221,0.0001464657,0.002843829],"genre_scores_gemma":[0.9887373,0.0001241454,0.00594666,0.00002525092,0.000005033749,0.00009400915,0.001180959,0.00002087578,0.003865659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4001812,"threshold_uncertainty_score":0.8050759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08731153723467966,"score_gpt":0.3827828105338065,"score_spread":0.2954712732991268,"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."}}