{"id":"W2153740871","doi":"10.1353/cpp.2010.0004","title":"The Value of the Long Form Canadian Census for Long Term National and International Research","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Census; Microdata (statistics); Government (linguistics); Population; Opposition (politics); American Community Survey; Political science; Geography; Public administration; Economic growth; Demography; Economics; Sociology; Law; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02881171,0.001100162,0.001803511,0.01974075,0.008088043,0.007969874,0.004923833,0.001584102,0.01050692],"category_scores_gemma":[0.1087021,0.0009137797,0.001087902,0.03366945,0.003267194,0.003915073,0.004827332,0.006550923,0.002021602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09706996,"about_ca_system_score_gemma":0.2932514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908254,"about_ca_topic_score_gemma":0.9889551,"domain_scores_codex":[0.9543699,0.008595367,0.002391045,0.002385995,0.02902274,0.003234815],"domain_scores_gemma":[0.8505412,0.01603588,0.005952205,0.01516427,0.1031223,0.00918413],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001111068,0.00004022753,0.01338097,0.0005224517,0.0001322855,0.00005222327,0.00112487,0.0009955948,0.0001924578,0.1562689,0.727635,0.09954389],"study_design_scores_gemma":[0.00004584953,0.0000395403,0.06540215,0.001439134,0.0001005643,0.00005200677,0.001235738,0.002291705,0.0003474858,0.01393186,0.9149646,0.0001492832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02172519,0.04581656,0.04257222,0.2796918,0.02323132,0.003212275,0.2937349,0.002121482,0.2878943],"genre_scores_gemma":[0.3837222,0.05876125,0.2080834,0.04439997,0.006247599,0.005178189,0.1721228,0.001723476,0.1197612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9711883,"threshold_uncertainty_score":0.7042952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491980048066061,"score_gpt":0.3852992323162563,"score_spread":0.3203794318355957,"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."}}