{"id":"W6892846057","doi":"10.5281/zenodo.11861792","title":"canadian citizenship test 2023 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Political Developments and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Test (biology); Immigration; Download; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001078103,0.0007030865,0.000705453,0.001529434,0.009234518,0.004414502,0.001580902,0.003035025,0.6554904],"category_scores_gemma":[0.005231789,0.0004407834,0.0008596596,0.002528965,0.0009721807,0.001440605,0.001493803,0.002561382,0.3541596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01779357,"about_ca_system_score_gemma":0.03974599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9000322,"about_ca_topic_score_gemma":0.9687647,"domain_scores_codex":[0.9979373,0.00005662049,0.00003760517,0.0001042471,0.001359577,0.0005045571],"domain_scores_gemma":[0.9936992,0.000201186,0.00005311902,0.0002062968,0.004455616,0.001384648],"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":[0.00001232938,0.00001266455,0.0001766713,0.00001466878,9.186271e-7,0.00001584932,0.0000186521,0.00001312886,0.00004190547,0.000866664,0.9908425,0.007984079],"study_design_scores_gemma":[0.00001150736,0.000009024969,0.002710532,0.00003159362,0.000002786074,0.00001595202,0.0001665713,0.00003926381,0.0001176577,0.00019363,0.996686,0.0000153769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001182696,0.0002784725,0.000173406,0.005113611,0.001699687,0.0002297388,0.01507446,0.0007864801,0.9754614],"genre_scores_gemma":[0.006484008,0.000251719,0.0003458294,0.002058013,0.0001189797,0.00008431788,0.004631632,0.0002720016,0.9857535],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6554904,"threshold_uncertainty_score":0.4914011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067737844927866,"score_gpt":0.2769353609597189,"score_spread":0.2362579825104403,"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."}}