{"id":"W3159373425","doi":"10.24908/iqurcp.7641","title":"Assistive Seatbelt Device","year":2017,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buckle; Assistive device; Computer science; Simple (philosophy); Engineering; Physical medicine and rehabilitation; Medicine; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003592777,0.001271716,0.0008776472,0.0009658764,0.0007911601,0.0008725247,0.001421159,0.001301483,0.1241822],"category_scores_gemma":[0.001379005,0.0003850802,0.0006230708,0.0004055421,0.0003213887,0.000982996,0.001776548,0.0007578874,0.06310835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843016,"about_ca_system_score_gemma":0.0005498431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008954505,"about_ca_topic_score_gemma":0.001104053,"domain_scores_codex":[0.9994988,0.00003536891,0.00004019527,0.0001031326,0.0002589873,0.00006349263],"domain_scores_gemma":[0.9995504,0.00007368351,0.00003076889,0.00005849573,0.0001996107,0.00008709107],"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":[0.001091982,0.0006876817,0.003950322,0.001771262,0.00005464181,0.002381173,0.0005420026,0.0005625878,0.06003982,0.004032792,0.2412368,0.6836489],"study_design_scores_gemma":[0.0004805903,0.002564985,0.01484893,0.0006621712,0.0001517798,0.02447416,0.0003710928,0.003618575,0.03322671,0.001661987,0.9177492,0.000189923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08652858,0.01024673,0.2596783,0.003749153,0.006782474,0.003040676,0.01393182,0.0336824,0.5823599],"genre_scores_gemma":[0.3311314,0.004061467,0.04628307,0.004131946,0.0006883152,0.001375336,0.005744295,0.0009117065,0.6056725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1241822,"threshold_uncertainty_score":0.415431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106944515712932,"score_gpt":0.3754294798465191,"score_spread":0.2684849641335871,"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."}}