{"id":"W1569187885","doi":"","title":"A PREDICTIVE MODEL TO DETERMINE ELECTION RESULTS IN INDIA","year":2009,"lang":"en","type":"article","venue":"","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Politics; Political science; Consolidation (business); Independence (probability theory); Political economy; State (computer science); Quarter (Canadian coin); Corporate governance; Economics; Public administration; Development economics; Law; Statistics; Geography; Mathematics","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":[0.004432946,0.0008235917,0.0008304454,0.002619238,0.0005954196,0.002131678,0.001453852,0.0008581689,0.006194155],"category_scores_gemma":[0.01116718,0.0005305136,0.001053848,0.002191002,0.0006808807,0.0007563233,0.0009486733,0.001955922,0.001498343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425752,"about_ca_system_score_gemma":0.001186535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0362083,"about_ca_topic_score_gemma":0.02233985,"domain_scores_codex":[0.9988673,0.000496475,0.00007212583,0.0002307998,0.0001193039,0.0002140007],"domain_scores_gemma":[0.9901009,0.008011346,0.0006843693,0.0003928121,0.0006156332,0.0001949485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006966274,0.0004787865,0.3559932,0.0001566016,0.0004060999,0.0005819387,0.0005279989,0.5569013,0.0003597842,0.01246911,0.007254002,0.06417453],"study_design_scores_gemma":[0.00002596126,0.00009828599,0.03193365,0.00003271218,0.00007492093,0.00008863814,0.0001842767,0.9626005,0.0001670083,0.003576707,0.001187048,0.00003023842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361206,0.0006034766,0.04995673,0.001797857,0.0001425514,0.0001867824,0.002905758,0.0007162083,0.007570134],"genre_scores_gemma":[0.9918662,0.0002279944,0.003790137,0.00004676569,0.00004025358,0.00006765248,0.001520166,0.00002938854,0.002411603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0362083,"threshold_uncertainty_score":0.07199508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518556397320237,"score_gpt":0.231923936035646,"score_spread":0.2067383720624437,"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."}}