{"id":"W2079550418","doi":"10.1002/atr.112","title":"Comparison of updating techniques in transferability analysis of work trip mode choice models in developing countries","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Cooperation Agency","keywords":"Transferability; Predictability; Computer science; Estimator; Bayesian probability; Transfer (computing); Econometrics; Process (computing); Mode (computer interface); Scale (ratio); Work (physics); Statistics; Data mining; Machine learning; Engineering; Artificial intelligence; Mathematics; Logit","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01664591,0.0005282535,0.0008124003,0.001573457,0.0003947555,0.0009314331,0.001087345,0.0007224982,0.001109085],"category_scores_gemma":[0.06554284,0.0003683876,0.001107375,0.0009264699,0.0006956503,0.001691,0.001214337,0.00100069,0.00009573033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629786,"about_ca_system_score_gemma":0.0007821639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009914672,"about_ca_topic_score_gemma":0.004190139,"domain_scores_codex":[0.9957126,0.003394703,0.0001723988,0.0002749717,0.0002997392,0.0001456643],"domain_scores_gemma":[0.9369175,0.05661625,0.00245302,0.002261033,0.001467972,0.0002841698],"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":[0.0005123321,0.0002176934,0.03782331,0.0001191486,0.0003872113,0.000123623,0.0004666199,0.8317944,0.0007854347,0.01003936,0.0002775957,0.1174533],"study_design_scores_gemma":[0.00001927064,0.0001544461,0.004994154,0.00001595613,0.00005796416,0.000017672,0.00007339232,0.9902085,0.0005169209,0.003775367,0.0001527167,0.00001366186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6934441,0.0003479021,0.3040829,0.0001917302,0.00001945818,0.0001309693,0.00009264432,0.0002211833,0.001469192],"genre_scores_gemma":[0.9726945,0.0001545293,0.02662626,0.00001544681,0.00001205268,0.00005350684,0.0001114097,0.00002369307,0.000308547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664591,"threshold_uncertainty_score":0.08803302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571435624255969,"score_gpt":0.3619285320186212,"score_spread":0.3362141757760615,"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."}}