{"id":"W7055661413","doi":"","title":"Cutting the queue : reducing Canada's immigration backlogs and wait times : report of the Standing Committee on Citizenship and Immigration","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Citizenship; Deportation; Queue; Immigration law","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":[0.003322272,0.0006996535,0.0004723224,0.00217243,0.01583497,0.007039289,0.003528864,0.006454463,0.03838248],"category_scores_gemma":[0.01210291,0.0006577646,0.0009027038,0.002746057,0.001544182,0.00196792,0.002881926,0.005233604,0.004212695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04471357,"about_ca_system_score_gemma":0.4050185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916524,"about_ca_topic_score_gemma":0.9972258,"domain_scores_codex":[0.99612,0.0001532563,0.00008286239,0.0001100364,0.001322938,0.002210933],"domain_scores_gemma":[0.9830489,0.001080484,0.0005106633,0.0001553328,0.005756098,0.009448471],"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":[0.00008747308,0.0002153672,0.009794092,0.0001229442,0.00001545046,0.00008031453,0.0009955876,0.000200087,0.0001913701,0.001587071,0.9326954,0.054015],"study_design_scores_gemma":[0.0004949374,0.0002934032,0.2652956,0.0009066706,0.0002060757,0.000127547,0.02482256,0.001878449,0.001162524,0.001557267,0.7030579,0.0001971368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1229374,0.007881888,0.00126148,0.6242859,0.008582122,0.001246364,0.01866716,0.001642087,0.2134957],"genre_scores_gemma":[0.3395324,0.01171962,0.005899243,0.176031,0.001884311,0.0007753184,0.008851801,0.000708138,0.4545981],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04471357,"threshold_uncertainty_score":0.3244212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007064915299754785,"score_gpt":0.1783326491834683,"score_spread":0.1712677338837135,"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."}}