{"id":"W2086469603","doi":"10.3141/2003-01","title":"Random Utility Location, Production, and Exchange Choice; Additive Logit Model; and Spatial Choice Microsimulations","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Logit; Commodity; Mixed logit; Discrete choice; Production (economics); Economics; Econometrics; Consumption (sociology); Microeconomics; Computer science; Operations research; Logistic regression; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009433867,0.0002392875,0.0003852069,0.0009026196,0.002232046,0.0001997999,0.0004697625,0.0002741159,0.000154412],"category_scores_gemma":[0.001777543,0.0002074145,0.0001466916,0.00210724,0.001693541,0.00105624,0.000005823205,0.001396014,0.000003976348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892005,"about_ca_system_score_gemma":0.0008197783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04160968,"about_ca_topic_score_gemma":0.5198146,"domain_scores_codex":[0.9935068,0.001123564,0.001269061,0.0005309891,0.002731396,0.0008381353],"domain_scores_gemma":[0.9900267,0.002345155,0.0005077317,0.0003013304,0.006300062,0.000519097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001933502,0.0003422728,0.9069903,0.0002913503,0.0001482735,0.00002180746,0.04269427,0.01731187,0.0006169031,0.002536771,0.004917839,0.02219477],"study_design_scores_gemma":[0.001594019,0.0001498767,0.974519,0.0002525465,0.00007276498,3.386385e-7,0.004606049,0.001308495,0.00023977,0.001551441,0.01549449,0.000211211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467269,0.000526073,0.04467855,0.005530691,0.0005080229,0.001533564,0.0001044049,0.00005833157,0.000333439],"genre_scores_gemma":[0.9941489,0.001865645,0.002258588,0.00006201564,0.0004260156,0.00004248941,0.00005236185,0.00003675091,0.001107203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4782048,"threshold_uncertainty_score":0.9990669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09785761344366797,"score_gpt":0.4067578204202149,"score_spread":0.3089002069765469,"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."}}