{"id":"W7161805930","doi":"10.82308/16321","title":"How we vote: information heterogeneity, process and choice","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Process (computing)","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":[0.01613305,0.0003091894,0.001068565,0.001928263,0.001745103,0.007072289,0.000909919,0.002182728,0.008651307],"category_scores_gemma":[0.06811402,0.0003625239,0.0009193943,0.00262983,0.004370191,0.00552197,0.002357146,0.002313175,0.0009220717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996945,"about_ca_system_score_gemma":0.001579895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006698731,"about_ca_topic_score_gemma":0.005619421,"domain_scores_codex":[0.9844584,0.01127772,0.0004157021,0.00150695,0.00136424,0.0009769169],"domain_scores_gemma":[0.9354995,0.05302207,0.004600285,0.003619957,0.001905117,0.001353034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001741418,0.0006163255,0.2860629,0.001056352,0.001210747,0.0007852967,0.03053493,0.01917028,0.001616266,0.4478741,0.007178033,0.2021534],"study_design_scores_gemma":[0.0002840763,0.0004214343,0.1889525,0.0004136953,0.0003618252,0.0003549152,0.01558489,0.02401115,0.000981511,0.7291663,0.03927873,0.0001890303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481186,0.004906554,0.05094909,0.0179786,0.0002412496,0.000276449,0.0009373095,0.00008844371,0.07650367],"genre_scores_gemma":[0.994027,0.0005281528,0.001989743,0.0004650105,0.00008122897,0.0000672353,0.0001459128,0.00002284361,0.002672934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613305,"threshold_uncertainty_score":0.08532071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00765439668447537,"score_gpt":0.2852066120217305,"score_spread":0.2775522153372552,"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."}}