{"id":"W2218136652","doi":"","title":"Modelling the dynamic response of the human spine to shock and vibration using a recurrent neural network","year":2014,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Critical Systems Labs; Simon Fraser University","funders":"","keywords":"Acceleration; Shock (circulatory); Artificial neural network; Engineering; Nonlinear system; Vibration; Control theory (sociology); Network model; Simulation; Vertebra; Structural engineering; Computer science; Artificial intelligence; Acoustics; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001940687,0.00009541239,0.0002388353,0.000114268,0.0001199084,0.00005574174,0.0002190977,0.00004367452,0.00000262748],"category_scores_gemma":[0.0002363404,0.00005627518,0.00008707014,0.0001290473,0.00004390898,0.0001314978,0.00005450992,0.0002352685,7.467422e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608406,"about_ca_system_score_gemma":0.0001097135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008615802,"about_ca_topic_score_gemma":0.000008059553,"domain_scores_codex":[0.9978948,0.000533204,0.0006986939,0.000104877,0.0006403748,0.0001280756],"domain_scores_gemma":[0.9983959,0.000241775,0.0005559708,0.0001743154,0.0005344362,0.00009761727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001263845,0.00007213555,0.005830224,0.00007835858,0.00009121334,0.000006571981,0.0004530811,0.9307705,0.05906485,0.0008662543,0.0001922175,0.001310792],"study_design_scores_gemma":[0.000790012,0.0005847426,0.01669487,0.001034266,0.0000308855,0.0003870539,0.00008379197,0.979051,0.0009022922,0.0000727506,0.0003143833,0.00005393934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653981,0.0003465657,0.02557739,0.007015444,0.001271153,0.0003677657,0.000002252701,0.000006171847,0.00001512977],"genre_scores_gemma":[0.9980291,0.00001162783,0.0007763527,0.0004291268,0.0007109799,0.00000278643,0.000001022155,0.00001401571,0.0000250524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05816256,"threshold_uncertainty_score":0.2294835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020879879172801,"score_gpt":0.3434463634522911,"score_spread":0.3132375646605631,"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."}}