{"id":"W2888067344","doi":"10.1115/1.4041190","title":"A Sensor System to Measure Force Applications of a Brace for Pectus carinatum","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Pectus Deformity Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Pectus carinatum; Brace; Calibration; Measure (data warehouse); Limits of agreement; Compression (physics); Simulation; Reliability (semiconductor); Biomedical engineering; Computer science; Surgery; Structural engineering; Engineering; Medicine; Mathematics; Physics; Statistics; Power (physics); Pectus excavatum; Nuclear medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000671491,0.0001039411,0.0004656708,0.0001409233,0.00005997801,0.00001119863,0.0001786859,0.0001166109,0.00004946832],"category_scores_gemma":[0.0004754841,0.00006595199,0.0002035524,0.0001953256,0.00006333166,0.0000449943,0.00003112716,0.0001452573,0.00001486446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235298,"about_ca_system_score_gemma":0.0002904818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004519579,"about_ca_topic_score_gemma":0.0001150256,"domain_scores_codex":[0.9981542,0.00002555291,0.0005250209,0.0001202601,0.0009962743,0.000178652],"domain_scores_gemma":[0.9980808,0.0002220531,0.0003162873,0.0001628774,0.0007599889,0.0004580125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006173499,0.009305008,0.16819,0.01581202,0.007987568,0.001126435,0.009301095,0.00002412325,0.005180172,0.02557291,0.07788008,0.6734471],"study_design_scores_gemma":[0.02809877,0.0256658,0.1771457,0.01941485,0.005551343,0.01282654,0.01185378,0.003128838,0.03459208,0.0005043323,0.6802912,0.0009267915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395228,0.00364706,0.02523823,0.02578109,0.0005535987,0.001752785,0.00004236857,0.0000408776,0.003421191],"genre_scores_gemma":[0.9954233,0.0000378317,0.002833372,0.0006087799,0.0008977408,0.00005479765,0.000001862512,0.00001202743,0.0001303365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6725203,"threshold_uncertainty_score":0.2689444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006636360353059,"score_gpt":0.3249338268904279,"score_spread":0.3048674632868973,"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."}}