{"id":"W4394972221","doi":"10.3390/su16135618","title":"Synthetic Participatory Planning of Shared Automated Electric Mobility Systems","year":2024,"lang":"en","type":"preprint","venue":"Sustainability","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Citizen journalism; Computer science; Business; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003285754,0.000629141,0.0004102178,0.000420479,0.001013744,0.001527395,0.001185257,0.00111095,0.003211813],"category_scores_gemma":[0.006773712,0.0004069378,0.0009367017,0.0004593593,0.00221956,0.001359066,0.003706297,0.000769774,0.0001884814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605007,"about_ca_system_score_gemma":0.001814621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080189,"about_ca_topic_score_gemma":0.007904543,"domain_scores_codex":[0.9969156,0.002253173,0.0000622564,0.0003356371,0.000281555,0.0001518072],"domain_scores_gemma":[0.9950465,0.003866038,0.0002248886,0.0005137146,0.000180281,0.000168589],"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":[0.00008261707,0.00005384472,0.0008331978,0.00008161205,0.00003084785,0.0003534474,0.001846777,0.9202708,0.002305974,0.06138339,0.000353406,0.01240409],"study_design_scores_gemma":[0.00003090011,0.0000655256,0.0001548535,0.00002053894,0.00001153027,0.0000348377,0.0008752333,0.9334853,0.001733816,0.05889171,0.004679515,0.00001627261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1576979,0.00007634548,0.8254279,0.0005157527,0.00002753816,0.0002424952,0.0001996801,0.0002665894,0.01554582],"genre_scores_gemma":[0.8231213,0.00005183583,0.1736804,0.00003903631,0.000005672931,0.0003164656,0.0001772899,0.00005476156,0.002553238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005080189,"threshold_uncertainty_score":0.0173769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270807435305904,"score_gpt":0.2994918851935238,"score_spread":0.2767838108404647,"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."}}