{"id":"W6926623626","doi":"10.25318/2210000801-fra","title":"Incidents des utilisateurs d'Internet en matière de sécurité et de protection de la vie privée, selon le groupe d'âge, le niveau de scolarité et le revenu du ménage","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Legislation; Vulnerability (computing); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001192097,0.0004730729,0.0003536143,0.000105246,0.0002851484,0.0001884256,0.0004796965,0.0007244683,0.00002314549],"category_scores_gemma":[0.001006308,0.0006120984,0.00007566383,0.0001673795,0.0001891196,0.00003033968,0.0001766477,0.00060787,0.000005300873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000843082,"about_ca_system_score_gemma":0.005307638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.242747,"about_ca_topic_score_gemma":0.6899094,"domain_scores_codex":[0.9967392,0.001117483,0.0004822226,0.0005802295,0.0003791052,0.0007017775],"domain_scores_gemma":[0.9984573,0.00019858,0.000392009,0.000458086,0.0002804024,0.0002136104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002247666,0.0004299064,0.002869914,0.002100411,0.0002311675,0.0002812594,0.001025641,0.000379911,0.07836536,0.005368212,0.9048015,0.003921989],"study_design_scores_gemma":[0.001479668,0.0005855563,0.1053281,0.001442164,0.0003042081,0.0005131971,0.001318061,0.001561607,0.1105884,0.003593761,0.7717853,0.001499975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.227252,0.002399725,0.1659488,0.0005813031,0.0006038263,0.001674318,0.6002089,0.00002762337,0.001303545],"genre_scores_gemma":[0.5289137,0.002361239,0.009496644,0.0004206401,0.0002227362,0.0001471695,0.4550982,0.0001057887,0.003233981],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4471624,"threshold_uncertainty_score":0.999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005006696423472372,"score_gpt":0.2547013966838074,"score_spread":0.2496947002603351,"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."}}