{"id":"W4402035413","doi":"10.32920/26882509","title":"Life Cycle Effects of Mobility Technologies and Services","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Business","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":[0.0007874356,0.000593129,0.0002078219,0.00125217,0.0004475417,0.001306704,0.0005854663,0.0005797852,0.01152],"category_scores_gemma":[0.003403847,0.0002717999,0.001033525,0.001249111,0.0004417186,0.001309101,0.000730243,0.0004878873,0.0007955468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004803924,"about_ca_system_score_gemma":0.002288263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04123358,"about_ca_topic_score_gemma":0.0302641,"domain_scores_codex":[0.9992023,0.0001938107,0.00002632837,0.00007562489,0.0002639058,0.0002379814],"domain_scores_gemma":[0.9986275,0.0005362565,0.0001833557,0.00007159035,0.000490553,0.00009072008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006021243,0.0002270705,0.02730114,0.0004203064,0.0001932349,0.0005933336,0.0002020874,0.7486306,0.008309438,0.09112705,0.00818845,0.1142052],"study_design_scores_gemma":[0.00008782931,0.001048811,0.05578591,0.0001920056,0.0003333233,0.0004991759,0.001490794,0.7679351,0.01580377,0.0555608,0.1011334,0.00012906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7769115,0.003895715,0.03200479,0.002236951,0.0001805665,0.0005515269,0.01384519,0.0001931766,0.1701805],"genre_scores_gemma":[0.9735224,0.001406202,0.002837016,0.0001091549,0.00001397032,0.00009324144,0.001840029,0.00003056288,0.02014749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04123358,"threshold_uncertainty_score":0.08198714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00494339964120846,"score_gpt":0.2191336797337238,"score_spread":0.2141902800925153,"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."}}