{"id":"W3124086351","doi":"","title":"The Dynamics of Party Identification Reconsidered","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dynamism; Identification (biology); Latent variable; Stability (learning theory); Markov chain; Econometrics; Perspective (graphical); Latent class model; Political science; Dynamics (music); Economics; Sociology; Computer science; Statistics; Mathematics; Artificial intelligence","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":[0.005173527,0.0001037887,0.0004859906,0.0007390506,0.001138174,0.003305918,0.0008249537,0.0008783491,0.007180892],"category_scores_gemma":[0.0305103,0.0002903905,0.0003235815,0.001173289,0.002074551,0.003953811,0.001836758,0.00160782,0.0004571922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298204,"about_ca_system_score_gemma":0.0006875634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00510651,"about_ca_topic_score_gemma":0.005492253,"domain_scores_codex":[0.9972899,0.001516651,0.00007731236,0.0005193118,0.0002723451,0.0003244728],"domain_scores_gemma":[0.9797367,0.01273522,0.003336573,0.002842535,0.0008640988,0.0004848138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004690564,0.0001488177,0.3185132,0.00009809343,0.0001349842,0.00033649,0.008002127,0.03910241,0.001371879,0.5397124,0.002435726,0.08967484],"study_design_scores_gemma":[0.00005749758,0.0001351097,0.1959587,0.00009846668,0.00007599067,0.0004633039,0.007483117,0.2862937,0.001284043,0.499685,0.008379354,0.00008570073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640182,0.0001445516,0.0196904,0.001763703,0.00001722905,0.00001752289,0.0001963147,0.00004395882,0.01410817],"genre_scores_gemma":[0.9986705,0.00002264064,0.0006008983,0.00002179771,0.000004975117,0.000004219127,0.00003152998,0.0000036322,0.0006399367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007180892,"threshold_uncertainty_score":0.02736062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382803564873636,"score_gpt":0.3312905367194178,"score_spread":0.3074625010706814,"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."}}