{"id":"W2014969374","doi":"10.1353/cpp.2010.0001","title":"The Importance of the Long Form Census to Canada","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Census; Deci-; American Community Survey; Government (linguistics); Geography; Public administration; Economic growth; Political science; Demography; Economics; Sociology; Population; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004404545,0.00009884257,0.0001015996,0.00009159731,0.001478604,0.0001305884,0.001201435,0.00008371744,0.00007225999],"category_scores_gemma":[0.003347878,0.00007161566,0.00005976976,0.001103164,0.0004100182,0.00008813364,0.00004233327,0.000254493,0.000005601656],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334676,"about_ca_system_score_gemma":0.05979347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999412,"about_ca_topic_score_gemma":0.9999999,"domain_scores_codex":[0.9982292,0.00004680155,0.0001928159,0.0001528792,0.0003651242,0.001013179],"domain_scores_gemma":[0.9975657,0.0001215133,0.0001123933,0.0005773254,0.0001372772,0.001485797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[6.125408e-7,0.000001292251,0.01268554,0.000001469123,0.000005995583,0.000003419227,0.0006589087,2.335332e-7,0.000004317816,0.633429,0.3433294,0.009879848],"study_design_scores_gemma":[0.00004007254,0.000002119078,0.1365467,0.000002827058,0.000001548893,0.000002519159,0.0001505875,0.000001262564,0.00001520335,0.001719414,0.8614342,0.00008345335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.301764,0.00005314876,3.337831e-7,0.6115077,0.0008619212,0.000287998,0.0009846828,0.000008801138,0.0845314],"genre_scores_gemma":[0.9521888,0.00001019456,0.000004936342,0.03249801,0.000811,0.00001594849,0.000001685412,0.00001121804,0.01445817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6504248,"threshold_uncertainty_score":0.9998214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123667759925766,"score_gpt":0.2606407542106404,"score_spread":0.2482739782180638,"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."}}