{"id":"W1989555912","doi":"10.1017/s0008423906349980","title":"For Better or Worse: How Political Consultants are Changing Elections in the United States","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Politics; State (computer science); Power (physics); Political science; Competition (biology); Face (sociological concept); Federal election; Public administration; Political economy; Sociology; Law; Social 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":[0.003628487,0.0001818864,0.0002660154,0.001626971,0.008699212,0.008150884,0.0007281587,0.00259956,0.004750768],"category_scores_gemma":[0.01024407,0.0002769106,0.0002135668,0.003709492,0.005391886,0.004122183,0.003508375,0.003121192,0.0004562004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009624753,"about_ca_system_score_gemma":0.008203519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2203469,"about_ca_topic_score_gemma":0.505806,"domain_scores_codex":[0.9944805,0.003397555,0.0000919088,0.0001993502,0.0005356504,0.001295113],"domain_scores_gemma":[0.9959534,0.001350063,0.0006039247,0.00007891091,0.0005495649,0.001464007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002923127,0.0001652014,0.1111038,0.0002857073,0.00009484075,0.001054419,0.2708691,0.0007534446,0.0003725108,0.06932734,0.3732866,0.1723947],"study_design_scores_gemma":[0.00004622074,0.00008726583,0.2068804,0.0003973857,0.00006253928,0.0003186267,0.3579353,0.0004039652,0.0002146654,0.01183365,0.4217286,0.00009132516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4496857,0.03853665,0.0005660412,0.3893428,0.002018865,0.00004092353,0.0003654992,0.00006163666,0.1193819],"genre_scores_gemma":[0.9708409,0.007252846,0.0001663949,0.01385022,0.0002833701,0.00002024568,0.0001059309,0.00003075048,0.007449383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203469,"threshold_uncertainty_score":0.4381286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311225633248227,"score_gpt":0.307751179125531,"score_spread":0.2766286158007082,"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."}}