{"id":"W2087329791","doi":"10.1109/tvt.2014.2344026","title":"Vehicle Occupant Head Position Quantification Using an Array of Capacitive Proximity Sensors","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitive sensing; Head (geology); Position (finance); Proximity sensor; Range (aeronautics); Computer science; Position sensor; Engineering; Simulation; Electrical engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148671,0.0001769111,0.0003498576,0.000597064,0.0001981114,0.000007586892,0.00009656708,0.0003654172,0.00003630008],"category_scores_gemma":[0.00001266937,0.0001716566,0.0001192406,0.0004541542,0.0002683226,0.0001307074,9.390913e-7,0.0003836227,0.00002584212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210379,"about_ca_system_score_gemma":0.00005009097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004763618,"about_ca_topic_score_gemma":0.0000275955,"domain_scores_codex":[0.9987599,0.00009601909,0.0003256614,0.0003793706,0.0002057081,0.0002333776],"domain_scores_gemma":[0.9989666,0.00002340809,0.0001539148,0.000524957,0.0002589951,0.00007211864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001566757,0.0007846114,0.00007477067,0.00005162457,0.00007648042,0.000005883199,0.000178663,0.0005434122,0.9892808,0.00192176,0.000002033196,0.006923346],"study_design_scores_gemma":[0.0006999714,0.001557048,0.0005803255,0.0001052643,0.0002000594,0.0001000957,0.000279421,0.02686813,0.9682941,0.001077242,0.00007772983,0.0001606421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5612326,0.000007535928,0.4379516,0.0002593955,0.00008537121,0.0002604866,0.0000224074,0.0001516737,0.00002893245],"genre_scores_gemma":[0.9961305,0.000009192012,0.003634988,0.00009128728,0.00002799319,0.00002350631,0.00001617165,0.00002845787,0.00003794465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4348979,"threshold_uncertainty_score":0.6999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372590085804229,"score_gpt":0.300271510747807,"score_spread":0.2630125021673841,"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."}}