{"id":"W4409736254","doi":"10.1145/3706598.3713102","title":"Curves Ahead: Enhancing the Steering Law for Complex Curved Trajectories","year":2025,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Trajectory; Law; Control theory (sociology); Artificial intelligence; Physics; Political science; Control (management)","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":[0.0007511174,0.0007657431,0.0004452997,0.000435745,0.0002850017,0.0007191803,0.0007734442,0.00076053,0.001668601],"category_scores_gemma":[0.004544571,0.0003677999,0.0005674655,0.0002995244,0.0004685928,0.001136979,0.0007678878,0.0007523976,0.0006050564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919563,"about_ca_system_score_gemma":0.001050636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685782,"about_ca_topic_score_gemma":0.01131745,"domain_scores_codex":[0.9997804,0.00006919848,0.00001150638,0.00006254269,0.00005178453,0.00002466943],"domain_scores_gemma":[0.9983194,0.0008677979,0.0001812904,0.0002235904,0.0003011046,0.0001067604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001027918,0.00007671785,0.002586461,0.00004129404,0.00002645592,0.00006234828,0.0001100794,0.9412973,0.007780699,0.003503019,0.0005611795,0.0438517],"study_design_scores_gemma":[0.000002250871,0.00001330173,0.0001134027,0.000001748802,0.000002122697,0.000007271196,0.000002817262,0.9989659,0.0003481375,0.0004077317,0.0001313237,0.000003940499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.123937,0.0001473297,0.8723274,0.0001695249,0.00004418918,0.00005915332,0.00007477209,0.001395718,0.001844827],"genre_scores_gemma":[0.8894192,0.0001966435,0.1080059,0.0000610681,0.00001950566,0.00006247576,0.0001529538,0.0002332923,0.001849055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01685782,"threshold_uncertainty_score":0.03351945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766910500920746,"score_gpt":0.3031049247986164,"score_spread":0.275435819789409,"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."}}