{"id":"W1592962029","doi":"","title":"The effect of mass loading on the sensitivity of shock accelerometers","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Accelerometer; Acceleration; Shock (circulatory); Sensitivity (control systems); SIGNAL (programming language); Acoustics; Materials science; Physics; Engineering; Computer science; Electronic engineering; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001812698,0.00006527072,0.0001138131,0.00002406131,0.00002899939,0.000004733116,0.00009285661,0.0000371854,0.000004337609],"category_scores_gemma":[0.00004619734,0.00003589753,0.00005169682,0.000101991,0.00005730857,0.00001200011,0.0000137422,0.0001164362,0.000007597615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001673396,"about_ca_system_score_gemma":0.000002072217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008586172,"about_ca_topic_score_gemma":0.000003505487,"domain_scores_codex":[0.9996397,0.00002887664,0.00008061639,0.00005322546,0.00008076011,0.0001168252],"domain_scores_gemma":[0.9993736,0.000369933,0.00002176232,0.0002149278,0.00001025958,0.000009585394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000681923,0.000002922836,0.0001179892,0.00001765085,0.00002874491,0.000001842278,0.00004622458,0.007131258,0.9815999,0.006561594,0.00003688318,0.004448127],"study_design_scores_gemma":[0.0001324934,0.0001068412,0.0007693271,0.00001755207,0.000007488142,0.000001166177,0.00002094631,0.003060148,0.991061,0.004719549,0.00006305471,0.0000404185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953458,0.0000076083,0.0003802796,0.00025152,0.00008267825,0.00008551284,0.000002423781,0.00004361785,0.003800583],"genre_scores_gemma":[0.9998846,0.000009086417,0.00006994743,0.000006257316,0.00001043123,0.000003244952,2.328511e-7,0.000008901497,0.000007266464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009461071,"threshold_uncertainty_score":0.1463859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006434601327848863,"score_gpt":0.1878338477725965,"score_spread":0.1813992464447477,"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."}}