{"id":"W2024241152","doi":"10.1016/j.jbiomech.2008.10.003","title":"A comparison between a new model and current models for estimating trunk segment inertial parameters","year":2008,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertial frame of reference; Current (fluid); Trunk; Computer science; Engineering; Physics; Biology; Classical mechanics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001491108,0.0004979472,0.0007885695,0.0005370578,0.0003437211,0.000862125,0.001494813,0.001062734,0.0019549],"category_scores_gemma":[0.003486988,0.0003201093,0.0008035539,0.0004742653,0.0002669483,0.001428764,0.0004568031,0.0006564473,0.0006556582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003797821,"about_ca_system_score_gemma":0.0006888479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333907,"about_ca_topic_score_gemma":0.01064458,"domain_scores_codex":[0.9996649,0.00007891394,0.00002632172,0.00009926849,0.0001052803,0.00002530993],"domain_scores_gemma":[0.9983633,0.0009625203,0.00004901298,0.0001553597,0.0004334167,0.00003626091],"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":[0.0007579552,0.0003036286,0.007889358,0.0002396478,0.0002803127,0.0001204345,0.0001411202,0.6644799,0.009212811,0.002338492,0.001940635,0.3122957],"study_design_scores_gemma":[0.00001872297,0.00007609506,0.001267618,0.000008217311,0.00005564612,0.00004851287,0.00001402726,0.9968532,0.0007715494,0.0003851431,0.0004899775,0.00001129658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05993306,0.0005431444,0.9366192,0.0002638468,0.0002557339,0.00003690062,0.0001696519,0.0008109245,0.001367616],"genre_scores_gemma":[0.7510599,0.0008859612,0.2426154,0.0001571351,0.0001300358,0.0001168618,0.0007745297,0.0002645097,0.003995715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01333907,"threshold_uncertainty_score":0.02652287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223756011649818,"score_gpt":0.3570505372428109,"score_spread":0.2346749360778291,"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."}}