{"id":"W4388072643","doi":"10.54932/hvia8985","title":"Évaluation des compétences numériques dans les emplois au Québec et au Canada","year":2023,"lang":"fr","type":"report","venue":"","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Sociology; Philosophy","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":[0.004183792,0.0004013377,0.0004702185,0.003744668,0.005697233,0.004739724,0.0007910795,0.0005811897,0.008288247],"category_scores_gemma":[0.01210579,0.000200134,0.0002872868,0.005300092,0.002277209,0.001422185,0.002079253,0.0007715862,0.0006733949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07680714,"about_ca_system_score_gemma":0.07251298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871525,"about_ca_topic_score_gemma":0.9929686,"domain_scores_codex":[0.9965771,0.0005581434,0.0001168885,0.0002505236,0.001752287,0.0007449597],"domain_scores_gemma":[0.9863028,0.001462703,0.0006883562,0.0002531626,0.0097093,0.001583522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005156875,0.0004705564,0.4619023,0.0006521464,0.0001135198,0.0006600693,0.1692443,0.005428824,0.003346814,0.02153065,0.02852666,0.3076085],"study_design_scores_gemma":[0.00001757507,0.0001179467,0.8155009,0.0002916001,0.00003778337,0.00004737433,0.1061674,0.003026138,0.0013031,0.0008507606,0.07255641,0.00008292314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210882,0.0005902897,0.002025246,0.001273068,0.00003536571,0.0001862637,0.001391447,0.00006344912,0.07334666],"genre_scores_gemma":[0.9551632,0.0005038634,0.001949267,0.0001044097,0.000006442006,0.0001265337,0.000712022,0.00002130576,0.04141297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07680714,"threshold_uncertainty_score":0.5572774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2230096163951555,"score_gpt":0.3851720090255908,"score_spread":0.1621623926304353,"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."}}