{"id":"W1524058871","doi":"10.1007/s11116-009-9255-3","title":"Random covariance heterogeneity in discrete choice models","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Flexibility (engineering); Schedule; Computer science; Phone; Operations research; Task (project management); Transport engineering; Engineering; Systems engineering; Economics","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":[0.01958821,0.001571337,0.005829969,0.002032453,0.00145794,0.005473592,0.003845911,0.005442978,0.00860429],"category_scores_gemma":[0.07539617,0.002755697,0.003088096,0.003043281,0.004412754,0.007350146,0.002712536,0.005526929,0.0008719396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003887659,"about_ca_system_score_gemma":0.002561425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618133,"about_ca_topic_score_gemma":0.01294829,"domain_scores_codex":[0.9843549,0.01069812,0.0005718359,0.001688026,0.001407948,0.001279258],"domain_scores_gemma":[0.8549017,0.1329018,0.00472711,0.004013325,0.001970843,0.001485219],"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":[0.0002718817,0.0001859576,0.003104793,0.0001707674,0.0003677288,0.0002891877,0.0002548129,0.194269,0.0001913089,0.7908447,0.002547252,0.007502577],"study_design_scores_gemma":[0.0001293388,0.00004835835,0.001032842,0.00003293843,0.00009620747,0.00006942356,0.00008915115,0.4126934,0.00008235287,0.5847211,0.0009466128,0.00005828276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1280183,0.002264318,0.8490101,0.008691072,0.0003228595,0.000238098,0.001214753,0.0003452386,0.009895286],"genre_scores_gemma":[0.9315874,0.002069004,0.04272902,0.0007716573,0.000580765,0.0005634977,0.0007705325,0.0001804213,0.02074765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01958821,"threshold_uncertainty_score":0.1035935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298101785621641,"score_gpt":0.3061306127845551,"score_spread":0.2831495949283386,"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."}}