{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002973382,0.0005506481,0.0003487131,0.001764587,0.0002595116,0.0006820009,0.001130357,0.0007231347,0.00993768],"category_scores_gemma":[0.007767178,0.0003725496,0.0003067442,0.0005233031,0.0003981094,0.0009049221,0.0006086938,0.000448263,0.002667613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309706,"about_ca_system_score_gemma":0.0009642077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535756,"about_ca_topic_score_gemma":0.001814655,"domain_scores_codex":[0.9982241,0.0003324761,0.000226856,0.0002042733,0.0009533471,0.00005908604],"domain_scores_gemma":[0.994957,0.001553721,0.0002670783,0.0005820734,0.002513003,0.0001270777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006900147,0.000832117,0.0259683,0.0005451019,0.00004532295,0.0004682549,0.0003650852,0.004410911,0.3004885,0.00361097,0.012882,0.6496934],"study_design_scores_gemma":[0.0006530994,0.006746657,0.04502434,0.0002954308,0.0001894737,0.003805073,0.0003097526,0.1069735,0.7224105,0.001345902,0.1120714,0.0001749141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0867612,0.0003904583,0.8832657,0.0004862656,0.0004815108,0.002829874,0.002185493,0.009106736,0.01449275],"genre_scores_gemma":[0.2331666,0.0003691829,0.7435277,0.0003787646,0.00005922042,0.001617964,0.002639293,0.0004341959,0.01780714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00993768,"threshold_uncertainty_score":0.03324485,"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."}}