{"id":"W3019639515","doi":"10.18502/fbt.v7i1.2727","title":"Introducing a Robotic Lumbar Puncture Simulator with Force Feedback: LP Simd","year":2020,"lang":"en","type":"article","venue":"Frontiers in biomedical technologies","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Lumbar; Haptic technology; Virtual reality; Computer science; Simulation; Lumbar puncture; Artificial intelligence; Surgery; Medicine; Cerebrospinal fluid","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003530268,0.0005384753,0.000259645,0.000340429,0.0001110965,0.0003125023,0.0007455727,0.0006581189,0.002989101],"category_scores_gemma":[0.0009959614,0.0001917698,0.0005044405,0.0001111597,0.0002786828,0.0002959746,0.0007890587,0.0003727763,0.0006092594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138008,"about_ca_system_score_gemma":0.0004471586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005752095,"about_ca_topic_score_gemma":0.0005406049,"domain_scores_codex":[0.9997544,0.00005219794,0.00002023232,0.00003939566,0.0001023472,0.00003138377],"domain_scores_gemma":[0.9996756,0.00009757435,0.00004402494,0.00004638329,0.00006594722,0.00007059164],"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":[0.001271423,0.001221845,0.01416694,0.002036423,0.0001748143,0.003847162,0.001392714,0.05120554,0.5989887,0.002220673,0.006437914,0.3170359],"study_design_scores_gemma":[0.000883738,0.01776818,0.04511467,0.0005980401,0.0005148718,0.02955534,0.0008780159,0.3917201,0.3641788,0.002283665,0.1459133,0.000591378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4451882,0.001045953,0.5377088,0.0006828028,0.0004113369,0.000611793,0.0008358195,0.004865318,0.00865001],"genre_scores_gemma":[0.7551677,0.0006739522,0.2365828,0.0003179841,0.00008127496,0.0004307428,0.0005137255,0.0001455754,0.00608614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002989101,"threshold_uncertainty_score":0.009999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005147872479737465,"score_gpt":0.1880238295341106,"score_spread":0.1828759570543732,"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."}}