{"id":"W4391575482","doi":"10.3390/s24041055","title":"Instrumented Pre-Hospital Care Simulation Mannequin for Use in Spinal Motion Restrictions Scenarios: Validation of Cervical and Lumbar Motion Assessment","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Lumbar; Pelvis; Motion (physics); Computer science; Motion analysis; Medicine; Simulation; Nuclear medicine; Physical medicine and rehabilitation; Computer vision; Surgery","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":[0.00288719,0.0007124885,0.0002937767,0.0004365838,0.0002324759,0.0002856437,0.0008505532,0.0006375527,0.0008432089],"category_scores_gemma":[0.008898414,0.0001704325,0.0002727328,0.0001688951,0.0003822489,0.0003148948,0.0005594829,0.0002751933,0.0002707764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003753141,"about_ca_system_score_gemma":0.0008885915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00217007,"about_ca_topic_score_gemma":0.003557733,"domain_scores_codex":[0.9978815,0.001101146,0.0001934364,0.000165699,0.0005502755,0.000107928],"domain_scores_gemma":[0.9962739,0.001507881,0.0004259754,0.0003999296,0.001224444,0.0001678145],"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":[0.006305026,0.00409755,0.3397344,0.0009376216,0.0003120818,0.0007173756,0.003248311,0.0450878,0.4412752,0.0004840837,0.0009158343,0.1568848],"study_design_scores_gemma":[0.0004593313,0.03147756,0.5810074,0.0002278615,0.0002649074,0.003278516,0.00131259,0.1386619,0.2368675,0.0003129116,0.005968287,0.0001612978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966978,0.0000513875,0.03162433,0.00003737084,0.00001327254,0.0005375528,0.0002086253,0.0001213619,0.0004280832],"genre_scores_gemma":[0.9747501,0.00003813901,0.02429669,0.00003142577,0.000004546488,0.0003492188,0.0003155561,0.000008733831,0.0002055312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00288719,"threshold_uncertainty_score":0.0152691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178994558458421,"score_gpt":0.3295961966753019,"score_spread":0.3116967408294599,"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."}}