{"id":"W4405737206","doi":"10.1080/16874048.2024.2445333","title":"Comparative analysis of sustainable mobility planning tools: case studies from Italy, Egypt, and Lebanon","year":2024,"lang":"en","type":"article","venue":"HBRC Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sustainable development; Environmental planning; Civil engineering; Comparative case; Engineering; Regional science; Business; Construction engineering; Geography; Political science","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":[0.003498745,0.0004197581,0.0003940657,0.003890086,0.001825596,0.002000793,0.001100215,0.0009616127,0.002772454],"category_scores_gemma":[0.004940894,0.0002285607,0.0004288978,0.007314205,0.00145772,0.001306253,0.001879274,0.0004405101,0.0001679572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007175271,"about_ca_system_score_gemma":0.001875652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02701604,"about_ca_topic_score_gemma":0.06811961,"domain_scores_codex":[0.997511,0.001623422,0.00008316348,0.00009301851,0.0003055461,0.000383778],"domain_scores_gemma":[0.9975223,0.001669552,0.0002292694,0.0001494841,0.0003194007,0.0001100022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00224417,0.00574915,0.2391555,0.004118487,0.0006330365,0.03788115,0.2511445,0.07306685,0.005281194,0.08586615,0.006215819,0.288644],"study_design_scores_gemma":[0.0002663783,0.002133035,0.2006208,0.001397206,0.0003779503,0.002924838,0.68831,0.02128568,0.006888043,0.005649471,0.06998365,0.0001629009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872561,0.0003192827,0.0007288143,0.0001184255,0.000003381214,0.0001069241,0.00009845386,0.0000047319,0.0113639],"genre_scores_gemma":[0.9970396,0.0004399985,0.00132733,0.00001759903,0.000002600658,0.00008473893,0.00009537982,0.000004804309,0.0009878874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02701604,"threshold_uncertainty_score":0.05371761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09527778162452727,"score_gpt":0.4108420381962893,"score_spread":0.3155642565717621,"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."}}