{"id":"W4416263978","doi":"10.1016/j.jtrangeo.2025.104483","title":"Gender heterogeneity in couriers' mode choice behaviours: Crowd-shipping for E-groceries","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Österreichische Forschungsförderungsgesellschaft; Universität für Bodenkultur Wien; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie","keywords":"Mode choice; Mode (computer interface); Willingness to pay; Discrete choice; Choice modelling; Cycling; Mate choice; Focus (optics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002484736,0.0002356883,0.0004490791,0.0006674052,0.00006231466,0.00002313296,0.0002702377,0.000166882,0.00001392679],"category_scores_gemma":[0.000007947404,0.0002335456,0.0004718157,0.0004481001,0.00009388701,0.0002219512,0.000002748227,0.0003745455,2.420563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000043892,"about_ca_system_score_gemma":0.00006068275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003833926,"about_ca_topic_score_gemma":0.000412076,"domain_scores_codex":[0.9985002,0.00001011718,0.0007584048,0.000151073,0.000211848,0.0003683153],"domain_scores_gemma":[0.9994228,0.0000593508,0.00009489483,0.000167333,0.0001392979,0.0001162563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001080577,0.0001327479,0.9691043,0.0003445575,0.0003455525,0.00006596347,0.0002802448,0.02774303,0.0004836598,0.0004935144,0.0004196491,0.0004786777],"study_design_scores_gemma":[0.00199633,0.00009734153,0.9807155,0.000228919,0.0004692441,0.00001396376,0.00008802381,0.001444471,0.00243568,0.001370261,0.01075232,0.0003879616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550376,0.003797272,0.1390125,0.00006224102,0.0008739876,0.0002183922,0.0001351801,0.00007268665,0.0007901893],"genre_scores_gemma":[0.9957061,0.0003662694,0.003654224,0.00008779868,0.0001060373,0.00001097158,0.00002625969,0.00003032674,0.00001204089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1406685,"threshold_uncertainty_score":0.9523712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329557565276743,"score_gpt":0.2573765233545041,"score_spread":0.2340809477017367,"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."}}