{"id":"W4386070802","doi":"10.11159/icbes23.127","title":"In-Vivo Animal Trial of a Fiber-Optic Pressure Sensor Probe with Distributed Sensing Points for the Diagnosis of Lumbar Spinal Stenosis","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"In vivo; Medicine; Stenosis; Optical fiber; Lumbar spinal stenosis; Fiber optic sensor; Lumbar; Pressure sensor; Biomedical engineering; Radiology; Biology; Computer science; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491381,0.0001474718,0.0003464532,0.0001188176,0.00007232333,0.00004298634,0.0002492372,0.00004384168,5.296421e-7],"category_scores_gemma":[0.0002274652,0.00008824548,0.00005734084,0.001127201,0.0001841865,0.00007708603,0.00008447866,0.0001655209,6.050978e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001701716,"about_ca_system_score_gemma":0.00001733503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000140354,"about_ca_topic_score_gemma":2.244877e-7,"domain_scores_codex":[0.9988075,0.000004064419,0.0003190575,0.0002646915,0.0003227691,0.0002818683],"domain_scores_gemma":[0.9991743,0.0003521091,0.000136815,0.0000972361,0.0001685992,0.00007092084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01681443,0.0007741721,0.005847124,0.01479788,0.001070648,0.00002088373,0.0009538719,0.2424001,0.6152517,0.09671742,0.001170084,0.004181629],"study_design_scores_gemma":[0.001728735,0.0004613851,0.0006019424,0.000629791,0.00005500046,0.000007932736,0.00001665591,0.9417524,0.0545162,0.000007947992,0.0001024433,0.0001196036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984556,0.0001085252,0.0005682254,0.000244927,0.0001280417,0.0004355716,0.00001237858,0.0000304114,0.0000163432],"genre_scores_gemma":[0.9993169,0.00001073256,0.0003772354,0.000004292693,0.00007712747,0.00002214897,1.477954e-7,0.000009744875,0.0001816673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6993522,"threshold_uncertainty_score":0.3598546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080788191998309,"score_gpt":0.2210190775973334,"score_spread":0.2102111956773503,"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."}}