{"id":"W7108454014","doi":"10.5281/zenodo.17807566","title":"Reviewing Market Segmentation Methods in Political Marketing","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Market segmentation; Segmentation; Target market; Corporate governance; Politics; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02576287,0.001208786,0.001309847,0.01563019,0.002741535,0.00761327,0.001843074,0.003768726,0.006397789],"category_scores_gemma":[0.05333568,0.0007129051,0.001075562,0.01993827,0.008554447,0.01272243,0.002060089,0.003714414,0.001690707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007482624,"about_ca_system_score_gemma":0.01057763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004610693,"about_ca_topic_score_gemma":0.008187093,"domain_scores_codex":[0.9743319,0.01630091,0.002056975,0.001255729,0.005644805,0.0004095472],"domain_scores_gemma":[0.886755,0.09501103,0.003945793,0.001995894,0.01146711,0.0008251126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006078839,0.0001067795,0.0008115033,0.02207175,0.00009375548,0.0001321412,0.004137718,0.0008911338,0.0003625957,0.156683,0.04794043,0.7667084],"study_design_scores_gemma":[0.00001437449,0.00008720493,0.002783817,0.03324103,0.0001047743,0.0002933779,0.003344903,0.001015931,0.0006302975,0.0436218,0.9148052,0.00005742524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002899888,0.9064935,0.02561673,0.02207826,0.006659642,0.0003089404,0.0000894719,0.00009969905,0.03575393],"genre_scores_gemma":[0.04111353,0.9052619,0.03200264,0.007767154,0.006968644,0.000569313,0.0001612093,0.0002091295,0.005946388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02576287,"threshold_uncertainty_score":0.1362487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04876136784707519,"score_gpt":0.2989251261267739,"score_spread":0.2501637582796987,"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."}}