{"id":"W4392711513","doi":"10.20944/preprints202403.0656.v1","title":"Assessment of Sustainable Mobility Patterns of University Students and Staff: Case of a LMIC","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Taxis; Public transport; Flexibility (engineering); Business; Sustainable transport; Mode of transport; Sustainability; Private transport; Transport engineering; Public health; Medicine; Engineering; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002594962,0.0001876928,0.000563566,0.0001525587,0.0001041133,0.00001395685,0.0006705459,0.0002415587,0.0004243868],"category_scores_gemma":[0.00009885984,0.0002022036,0.0002014588,0.000218112,0.0004878061,0.0001116001,0.002157503,0.0004803311,0.000001730194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000282201,"about_ca_system_score_gemma":0.0007589239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0660047,"about_ca_topic_score_gemma":0.004551629,"domain_scores_codex":[0.9976094,0.0003674082,0.0005395213,0.0007016718,0.0005157684,0.0002662254],"domain_scores_gemma":[0.9981409,0.0001236065,0.0004529889,0.0007651132,0.000396354,0.0001210953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004057604,0.0006590154,0.9843217,0.002900393,0.0001526857,0.0002143978,0.008976663,0.00002728885,0.0001874583,0.002451506,0.000001309788,0.00006700028],"study_design_scores_gemma":[0.0002391689,0.00002494686,0.9676247,0.0001989278,0.0001932408,7.019866e-7,0.02661843,0.0000133849,0.001222538,0.003631359,0.00008273005,0.0001498442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940712,0.00007862858,0.00004502156,0.00004298695,0.0001372712,0.0009541437,0.0002239944,0.0000365802,0.004410103],"genre_scores_gemma":[0.9983523,0.0001090767,0.00004882047,0.000001487838,0.0000200853,0.000007368574,0.000009807822,0.00001016064,0.00144089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06145307,"threshold_uncertainty_score":0.9402149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160187802807344,"score_gpt":0.3979977264071781,"score_spread":0.3263958483791046,"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."}}