{"id":"W1951001645","doi":"10.1186/s40634-015-0035-z","title":"An intra‐bone axial load transducer: development and validation in an in‐vitro radius model","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Orthopaedics","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RADIUS; Transducer; Biomedical engineering; Model validation; In vitro; Materials science; Engineering; Physics; Chemistry; Computer science; Acoustics; Data science","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":[0.005007644,0.0009260389,0.0007094195,0.000681713,0.0004116024,0.0006927232,0.002164366,0.001813017,0.001096183],"category_scores_gemma":[0.003359761,0.000544765,0.0007458605,0.0005444314,0.0008632167,0.0004422457,0.0005875396,0.0007775227,0.0008399156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008926559,"about_ca_system_score_gemma":0.001441849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801575,"about_ca_topic_score_gemma":0.008889128,"domain_scores_codex":[0.997311,0.0006498199,0.000274298,0.0003276868,0.001300892,0.0001363807],"domain_scores_gemma":[0.9948114,0.001350043,0.0006655655,0.0009590095,0.001974056,0.0002399216],"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":[0.0002327257,0.0005231307,0.00303793,0.0005092527,0.00004429233,0.0003217909,0.0004020967,0.02057343,0.9616981,0.0004134453,0.0003716561,0.01187214],"study_design_scores_gemma":[0.00007516021,0.004109816,0.008129966,0.00009683389,0.0002047699,0.000688546,0.0002879018,0.08155356,0.8958406,0.0001720794,0.008753167,0.00008753763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5985705,0.001469574,0.3925776,0.0002938159,0.0002243841,0.001634628,0.001618149,0.001090482,0.00252086],"genre_scores_gemma":[0.6863528,0.001728814,0.305664,0.0001185144,0.00003995831,0.00157153,0.001521768,0.0001107777,0.002891819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005801575,"threshold_uncertainty_score":0.02648324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765877879878105,"score_gpt":0.3181396542333784,"score_spread":0.2704808754345973,"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."}}