{"id":"W3165449177","doi":"10.18757/ejtir.2021.21.2.5354","title":"How to ensure control of cooperative vehicle and truck platoons using Meaningful Human Control","year":2021,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Platoon; Control (management); Truck; Automation; Perspective (graphical); Set (abstract data type); Risk analysis (engineering); Liability; Automotive industry; Transport engineering; Engineering; Computer science; Computer security; Operations research; Business; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004093464,0.0004868648,0.0003946301,0.0004198444,0.0009392053,0.002687695,0.000945625,0.0009006857,0.002308671],"category_scores_gemma":[0.007718998,0.0002254049,0.0003747293,0.0002640673,0.003961409,0.003646015,0.001470531,0.0009789201,0.0004184856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008538,"about_ca_system_score_gemma":0.003267878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004471166,"about_ca_topic_score_gemma":0.002889508,"domain_scores_codex":[0.9962683,0.001228085,0.0002383527,0.0008471542,0.0008943491,0.0005237427],"domain_scores_gemma":[0.995189,0.001599843,0.0009614617,0.0008242733,0.001020189,0.0004053725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002957875,0.0003532893,0.007102265,0.0006766692,0.00008782715,0.0005185324,0.004953005,0.2369137,0.0459038,0.5394912,0.003781216,0.1599227],"study_design_scores_gemma":[0.0001958211,0.001350531,0.007502121,0.000357742,0.00009598554,0.0004566375,0.004608125,0.4531698,0.03885903,0.4320356,0.06115498,0.000213532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07991358,0.0002056312,0.9011808,0.001352236,0.0000974154,0.0003055681,0.00003268463,0.000348246,0.01656388],"genre_scores_gemma":[0.9467526,0.0001304983,0.05106729,0.0001339543,0.00004254454,0.0001109089,0.00003089295,0.00003314845,0.001698157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004471166,"threshold_uncertainty_score":0.02164859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013146584438362,"score_gpt":0.2523980799943086,"score_spread":0.232266614149925,"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."}}