{"id":"W4403791025","doi":"10.55092/aias20240007","title":"Developing a Machine Intelligence Quotient (MIQ) for evaluating autonomous vehicle intelligence: A Conceptual Framework","year":2024,"lang":"en","type":"article","venue":"Artificial Intelligence and Autonomous Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Zymeworks (Canada); Simon Fraser University","funders":"","keywords":"Quotient; Computer science; Artificial intelligence; Natural language processing; Mathematics; Combinatorics","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":[0.01038176,0.001478905,0.0006345575,0.009131205,0.0008112364,0.004703537,0.002025742,0.001129168,0.002054389],"category_scores_gemma":[0.01963887,0.0002896241,0.001027644,0.003333906,0.003654441,0.005910464,0.00300482,0.001475155,0.0007039466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232533,"about_ca_system_score_gemma":0.002405478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742197,"about_ca_topic_score_gemma":0.001507642,"domain_scores_codex":[0.9943283,0.002045887,0.0006333926,0.0005729417,0.002195171,0.0002243263],"domain_scores_gemma":[0.9903318,0.003912382,0.001579868,0.0006788227,0.003116835,0.0003804529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008458019,0.000325657,0.0413756,0.0007662825,0.0002332561,0.0001867446,0.003095505,0.02945786,0.00662501,0.6426618,0.005986999,0.2692007],"study_design_scores_gemma":[0.00006855125,0.001331484,0.05061064,0.001325137,0.0001948067,0.0007483194,0.007263527,0.2045617,0.01296498,0.6123461,0.1081481,0.0004367049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03572076,0.001763898,0.9271271,0.001305357,0.0001558828,0.0007850147,0.0005040012,0.0006338618,0.03200416],"genre_scores_gemma":[0.4954594,0.000733873,0.4992169,0.0002778062,0.0001054167,0.001495654,0.0006170573,0.00007779359,0.002015987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01038176,"threshold_uncertainty_score":0.05490464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06750144049552453,"score_gpt":0.3221033988345419,"score_spread":0.2546019583390173,"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."}}