{"id":"W7002268452","doi":"","title":"\"Multiple Citizenship, Identity and&#13;\\nEntitlement in Canada\"","year":2011,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Identification (biology); Ethnic group; Perspective (graphical); Agency (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":[0.001495952,0.0003201991,0.0005540982,0.002108925,0.05797793,0.009547745,0.001845465,0.002375445,0.01324275],"category_scores_gemma":[0.006663264,0.000374403,0.0004494658,0.004436298,0.0119284,0.002781015,0.006122618,0.005963875,0.0005508809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1319543,"about_ca_system_score_gemma":0.3217169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984545,"about_ca_topic_score_gemma":0.9995037,"domain_scores_codex":[0.9968911,0.0002443421,0.00006840131,0.0001966186,0.0007033311,0.001896283],"domain_scores_gemma":[0.9926748,0.0005764926,0.0003504086,0.0001120024,0.002307689,0.003978672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002018915,0.0002720804,0.1828632,0.0001627418,0.00003647792,0.002750359,0.4427869,0.0004259927,0.0003162474,0.187202,0.1074328,0.0755493],"study_design_scores_gemma":[0.0000235631,0.00003770669,0.1401534,0.0002464923,0.00003929935,0.0004948329,0.7094347,0.0004277447,0.0003162251,0.004985224,0.143735,0.000105836],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192361,0.001874025,0.0002249027,0.05077039,0.000351724,0.0000851005,0.0007203407,0.00002703368,0.1267104],"genre_scores_gemma":[0.954285,0.001166299,0.0001330977,0.002015719,0.00002663483,0.00002138855,0.0001320106,0.00001850057,0.04220144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319543,"threshold_uncertainty_score":0.9574003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084244855656773,"score_gpt":0.1863492858527362,"score_spread":0.1355068372961685,"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."}}