{"id":"W2327082962","doi":"10.1017/s0008423914000213","title":"Duplicative or Complementary? The Relationship between Policy Consulting and Internal Policy Analysis in Canadian Government","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Public Administration of Canada; Simon Fraser University","funders":"","keywords":"Work (physics); Order (exchange); Advice (programming); Government (linguistics); Public relations; Public policy; Public administration; Policy analysis; Business; Political science; Finance; Law; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03206584,0.0002689073,0.000884691,0.01187112,0.01569006,0.01404465,0.003865284,0.002500145,0.004363114],"category_scores_gemma":[0.2132659,0.0008397828,0.0004339315,0.02571919,0.01850337,0.006059687,0.01110873,0.003732385,0.0002117747],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1129823,"about_ca_system_score_gemma":0.152481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9056828,"about_ca_topic_score_gemma":0.9231854,"domain_scores_codex":[0.9393678,0.02088246,0.001987656,0.003719745,0.02417192,0.009870326],"domain_scores_gemma":[0.7052194,0.1333969,0.05178026,0.01379886,0.06754705,0.02825758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001948221,0.0002250734,0.6012949,0.0003057523,0.00008549979,0.0006557118,0.2609292,0.0007455685,0.000468542,0.03872257,0.006209185,0.09016305],"study_design_scores_gemma":[0.0000205759,0.00008804457,0.6705378,0.0007494624,0.00007233665,0.0003730071,0.2886185,0.002003415,0.000349351,0.008055969,0.02899293,0.0001385928],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368621,0.002466788,0.0009494501,0.016733,0.00007651404,0.00006790531,0.000169285,0.00004467232,0.04263025],"genre_scores_gemma":[0.9981804,0.0003964892,0.0003387324,0.0002976797,0.00002138616,0.00001555089,0.00003928216,0.00001133576,0.0006990699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8870177,"threshold_uncertainty_score":0.8197477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09574257490540226,"score_gpt":0.4372357562101196,"score_spread":0.3414931813047173,"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."}}