{"id":"W2339379004","doi":"10.2139/ssrn.2143215","title":"Neural Random Utility","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Computer science; Mathematics","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":[0.001537319,0.0004918913,0.0007967782,0.0006010552,0.0004521538,0.001930496,0.001043149,0.001581288,0.01526675],"category_scores_gemma":[0.01127797,0.0003312992,0.0005167993,0.000806356,0.001365132,0.00287752,0.001271701,0.001728582,0.001522806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435201,"about_ca_system_score_gemma":0.0006500234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009676744,"about_ca_topic_score_gemma":0.0007975564,"domain_scores_codex":[0.999324,0.0003296798,0.00002402569,0.0001374901,0.0001208685,0.00006393276],"domain_scores_gemma":[0.9978036,0.001438916,0.0001201481,0.000264746,0.0002302029,0.0001424436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002440696,0.00001470524,0.0001754476,0.00003245686,0.00001630234,0.00003728956,0.0000252517,0.03088185,0.0001903981,0.9523007,0.004439889,0.01186127],"study_design_scores_gemma":[0.000009392395,0.00001152398,0.0001626861,0.00001280135,0.000006993201,0.00005265082,0.00001451314,0.1668874,0.0001168553,0.8298209,0.002895543,0.000008855844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05912003,0.002603859,0.8141839,0.009218242,0.0005831878,0.00009015975,0.0006589001,0.0003788573,0.1131629],"genre_scores_gemma":[0.8567473,0.001763456,0.04143456,0.000700878,0.0003819328,0.0001528969,0.0003945275,0.0001898876,0.09823461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01526675,"threshold_uncertainty_score":0.05107236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955665885540741,"score_gpt":0.2526096762078794,"score_spread":0.233053017352472,"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."}}