{"id":"W2277990864","doi":"","title":"Sylvia Ziemann: Home (In)Security. Sylvia ZIEMANN, Home (ln)Security, Truck Gallery, Calgary, April 29 - May 26, 2011","year":2011,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Truck; Computer security; Engineering; Computer science","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":[0.0005407301,0.000712736,0.000215206,0.000865738,0.004270584,0.00177258,0.0007478953,0.001306066,0.1450384],"category_scores_gemma":[0.0009088247,0.000338022,0.0001078887,0.001292909,0.000656022,0.001549463,0.001346573,0.001601737,0.04233994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006249477,"about_ca_system_score_gemma":0.005140716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4033005,"about_ca_topic_score_gemma":0.7102005,"domain_scores_codex":[0.9996465,0.00003314717,0.000009103354,0.00004810739,0.0001549353,0.0001082334],"domain_scores_gemma":[0.999531,0.00003777963,0.0000322925,0.00001410046,0.0002261222,0.0001586475],"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":[0.000004553178,0.000001916251,0.00009126247,0.00001607619,2.798306e-7,0.00004276925,0.0001929798,0.000008566413,0.0000340315,0.001315224,0.9865796,0.01171284],"study_design_scores_gemma":[0.000001502127,0.000001555047,0.000920273,0.00003736177,6.654215e-7,0.00006261241,0.0008070539,0.00001430774,0.00007203126,0.0001632664,0.9979154,0.00000390713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003082075,0.09672817,0.00135399,0.1690105,0.01692174,0.000108738,0.001728483,0.0009686708,0.7100976],"genre_scores_gemma":[0.01396792,0.01859174,0.000494459,0.002416881,0.0004301296,0.0000127658,0.0002805197,0.0001051923,0.9637004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5966995,"threshold_uncertainty_score":0.8019061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008241723628171374,"score_gpt":0.1678422328259982,"score_spread":0.1596005091978268,"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."}}