{"id":"W4399828201","doi":"10.32920/26060707","title":"Clustering Analysis of Attitudes Towards Automated Vehicles","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":"Toronto Metropolitan University; Nova Scotia Community College; Dalhousie University","funders":"","keywords":"Cluster analysis; Computer science; Artificial intelligence; Data mining","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":[0.001345468,0.0002998876,0.000255247,0.002615904,0.0004955492,0.0007624726,0.0005489126,0.0004133708,0.008083981],"category_scores_gemma":[0.006349051,0.0001244276,0.0007785596,0.002311259,0.0003175488,0.0004282919,0.0006509018,0.0004741842,0.00117764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091167,"about_ca_system_score_gemma":0.0008365765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239099,"about_ca_topic_score_gemma":0.01450408,"domain_scores_codex":[0.998626,0.0003952245,0.000102153,0.0002880507,0.0004340791,0.0001545116],"domain_scores_gemma":[0.9940141,0.002004687,0.00132352,0.0004712427,0.00188395,0.0003025744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004739324,0.0003604948,0.8618544,0.000222642,0.0002906002,0.0001726766,0.01227641,0.003087383,0.003625461,0.003090945,0.00703272,0.1075123],"study_design_scores_gemma":[0.000006942111,0.0001490148,0.9830388,0.00003421076,0.00003976117,0.00007161552,0.005641723,0.007321985,0.0008980068,0.0005157673,0.002250284,0.00003193207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877661,0.00004875092,0.003920673,0.0001197721,0.00001764168,0.0002127889,0.001944928,0.00007522758,0.005893995],"genre_scores_gemma":[0.992898,0.00003078935,0.002653406,0.00002200061,0.000008209237,0.0001526308,0.00185646,0.00002086378,0.002357614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239099,"threshold_uncertainty_score":0.04754144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335080807093396,"score_gpt":0.2965357991205182,"score_spread":0.2731849910495842,"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."}}