{"id":"W4400142435","doi":"10.1145/3643834.3661553","title":"“Shotitwo First!”: Unraveling Global South Women’s Challenges in Public Transport to Inform Autonomous Vehicle Design","year":2024,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public transport; Computer science; Transport engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005326313,0.0002783443,0.0003178945,0.0003680374,0.00007672542,0.0002289635,0.0002299346,0.0001198966,0.0000725424],"category_scores_gemma":[0.0000526258,0.0002973405,0.00005252109,0.0007574735,0.00002723353,0.0006015094,0.000009575028,0.0003226348,0.0001438766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008653473,"about_ca_system_score_gemma":0.0002130703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007787439,"about_ca_topic_score_gemma":0.0003057923,"domain_scores_codex":[0.9982573,0.00004786065,0.0006051076,0.0003874598,0.0002233768,0.0004789367],"domain_scores_gemma":[0.9992097,0.0001630987,0.00004196938,0.0002279526,0.0001938229,0.0001634695],"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":[0.0001408684,0.000167581,0.006873698,0.002169035,0.000674299,0.0002531559,0.2559074,0.5687271,0.005325475,0.1290496,0.0002652298,0.03044654],"study_design_scores_gemma":[0.001506882,0.0005342678,0.06591306,0.004551074,0.00006933317,0.0000719293,0.06586733,0.811556,0.002937697,0.0008347831,0.04376304,0.002394635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1866819,0.0004409481,0.8023667,0.0004141302,0.001874885,0.001002423,0.000091056,0.00113657,0.005991349],"genre_scores_gemma":[0.9982507,0.00002803989,0.0008760239,0.00002879103,0.00004764398,0.000629454,0.00001790851,0.00003420538,0.00008718693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8115688,"threshold_uncertainty_score":0.9999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08899658336752383,"score_gpt":0.2731694254788382,"score_spread":0.1841728421113144,"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."}}