{"id":"W2955090410","doi":"10.4018/ijeach.2019070103","title":"Mitigation of Linear Accelerations and Shear Forces During Drop Head Simulated Falls","year":2019,"lang":"en","type":"article","venue":"International Journal of Extreme Automation and Connectivity in Healthcare","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Linear acceleration; Acceleration; Shear force; Impact; Linear relationship; Poison control; Drop (telecommunication); Physical medicine and rehabilitation; Computer science; Simulation; Structural engineering; Engineering; Medicine; Mathematics; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005183875,0.0004396696,0.0002977619,0.0006198449,0.0002686982,0.0002957233,0.0002772546,0.0002926303,0.001582044],"category_scores_gemma":[0.003415795,0.0001583631,0.0002513147,0.0002199031,0.0002593758,0.0002743529,0.0005795695,0.0002327008,0.0003512472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713137,"about_ca_system_score_gemma":0.0007729502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457761,"about_ca_topic_score_gemma":0.004551626,"domain_scores_codex":[0.9994957,0.0001239497,0.00004684344,0.00004438924,0.0002073517,0.00008173733],"domain_scores_gemma":[0.9992011,0.0002368656,0.0001813754,0.00004229898,0.0002615779,0.00007676893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008579823,0.002626094,0.3930658,0.0007996073,0.0002548124,0.0006507284,0.002444952,0.01556484,0.2644749,0.0004261736,0.001546131,0.3095662],"study_design_scores_gemma":[0.0001819818,0.01834453,0.8749312,0.0002311507,0.0001908604,0.0006582139,0.002806638,0.01657628,0.08286839,0.0007084286,0.002436819,0.00006552912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937339,0.00008552789,0.004783609,0.00006568392,0.00002764667,0.00009028267,0.0001186947,0.00004694057,0.001047705],"genre_scores_gemma":[0.9970502,0.00009483461,0.002268757,0.00003379121,0.00001052068,0.00006302135,0.00008787798,0.000005611929,0.0003853787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002457761,"threshold_uncertainty_score":0.005292535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810656268584123,"score_gpt":0.3387211390578572,"score_spread":0.300614576372016,"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."}}