{"id":"W2283915668","doi":"10.4271/2001-01-2087","title":"Development of an Electronic Belt Fit Test Device (eBTD) for Digitally Certifying Seat Belt Fit Compliance","year":2001,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Engineering Applied Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Compliance (psychology); Seat belt; Test (biology); Automotive engineering; Car seat; Conformance testing; Computer science; Engineering; Simulation; Geology; Operating system; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007123111,0.0009227851,0.001050739,0.0002891317,0.0003801445,0.0001346619,0.001554864,0.0007431371,0.0001406242],"category_scores_gemma":[0.0005689802,0.0009091896,0.0003238482,0.001008585,0.0004344265,0.0005497963,0.0003524187,0.001512977,0.00006716357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008421718,"about_ca_system_score_gemma":0.0002012432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000014267,"about_ca_topic_score_gemma":0.02967829,"domain_scores_codex":[0.994556,0.00003641599,0.001335133,0.001106462,0.00104757,0.001918476],"domain_scores_gemma":[0.9968988,0.0008409673,0.000135916,0.001400426,0.0001941337,0.000529743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000171952,0.0003862834,0.00007938997,0.0004131733,0.00009479796,0.00002338008,0.00005020648,0.0033713,0.9796355,0.001346333,0.0004247461,0.01400292],"study_design_scores_gemma":[0.001589961,0.001598418,0.8417651,0.0008325833,0.00009166715,0.0001619052,0.0001234954,0.00004587807,0.006887427,0.0008164297,0.1441225,0.00196468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601815,0.001166554,0.0001170501,0.001041707,0.000201716,0.002785987,0.0001436585,0.006912031,0.02744984],"genre_scores_gemma":[0.9735239,0.0003084576,0.02417506,0.0002163737,0.0001277991,0.0009312617,0.0001287171,0.0003070532,0.0002814283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9727481,"threshold_uncertainty_score":0.9993359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133153747931412,"score_gpt":0.291699050517048,"score_spread":0.2503675130377339,"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."}}