{"id":"W7097624683","doi":"","title":"DRDC Toronto CR 2005-119 Development of a Dynamic Biomechanical Model for Load Carriage: Phase II Part C&amp;amp;D User’s Manual V 3.0: Dynamic Load Carriage Compliance Tester Automated Test Cell","year":2005,"lang":"en","type":"article","venue":"","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Test (biology); Load cell; Phase (matter); Carriage; Dynamic testing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001313108,0.0008318916,0.0008093343,0.00153256,0.001205742,0.002013654,0.001600109,0.0009710274,0.2216951],"category_scores_gemma":[0.002330728,0.001045,0.0004516343,0.001070527,0.000474531,0.000999228,0.0009247472,0.0006011823,0.1353075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429549,"about_ca_system_score_gemma":0.005196376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1107714,"about_ca_topic_score_gemma":0.1831569,"domain_scores_codex":[0.9983644,0.0001059905,0.00007452798,0.0001152546,0.001284848,0.00005502953],"domain_scores_gemma":[0.9962565,0.0001714508,0.00007629664,0.0003151317,0.003028576,0.000152142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000375772,0.0001650765,0.004216097,0.0005964442,0.00002154515,0.0002700627,0.000440977,0.009854695,0.0314656,0.01024335,0.6379169,0.3044335],"study_design_scores_gemma":[0.00009423205,0.0003187458,0.009106354,0.0001460862,0.00003156337,0.00031305,0.0002280739,0.02487413,0.02262153,0.0008718615,0.9413274,0.00006702259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01980493,0.0009376078,0.277003,0.001077558,0.001413364,0.002269431,0.05656124,0.02620113,0.6147318],"genre_scores_gemma":[0.05588815,0.0006227272,0.06609741,0.000151323,0.00006859984,0.0006476748,0.03170794,0.003639468,0.8411766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2216951,"threshold_uncertainty_score":0.7416438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050081761240786,"score_gpt":0.358347480488414,"score_spread":0.308265719247628,"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."}}