{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001106086,0.001242644,0.001027857,0.005566295,0.001170301,0.001849127,0.002054013,0.0013113,0.01954908],"category_scores_gemma":[0.0108537,0.0005268669,0.0009653672,0.01324708,0.0003977254,0.000836266,0.001169168,0.001619752,0.01213788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008867143,"about_ca_system_score_gemma":0.01757178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.848899,"about_ca_topic_score_gemma":0.888183,"domain_scores_codex":[0.9986105,0.0001090979,0.0001847022,0.0002802718,0.0005120733,0.000303274],"domain_scores_gemma":[0.9926988,0.001678774,0.0008464543,0.0005538128,0.003587839,0.0006343505],"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":[0.0001014944,0.00001604257,0.01174918,0.0006052284,0.00006231797,0.00002475517,0.00007390844,0.0004351561,0.00004493397,0.0005847149,0.9829845,0.003317862],"study_design_scores_gemma":[0.0002887256,0.00001959013,0.1494476,0.0008753879,0.0001128872,0.00008431298,0.0005753798,0.000973879,0.0003986674,0.0007625551,0.8463912,0.00006969304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003947305,0.00006040823,0.00001810785,0.00006814783,0.00000732047,0.000003983879,0.9989275,0.00004929139,0.0004704528],"genre_scores_gemma":[0.002003165,0.0001194279,0.0001384611,0.00004538924,0.00000632099,0.00003619219,0.9960095,0.00002622415,0.00161531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.151101,"threshold_uncertainty_score":0.3039817,"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."}}