{"id":"W4224050002","doi":"10.1115/1.4054344","title":"Design Synthesis of a Robotic Uniaxial Torque Device for Orthopedic Haptic Simulation","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Torque; Simulation; Computer science; GRASP","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":[0.0008356192,0.0006727842,0.0003903617,0.0007975652,0.0003080069,0.0007605626,0.001336013,0.0007240381,0.004508521],"category_scores_gemma":[0.0009348031,0.0003675272,0.0006174077,0.0002653009,0.0003333541,0.0005184892,0.0007248261,0.0002492465,0.001159125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862309,"about_ca_system_score_gemma":0.0005926046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003215015,"about_ca_topic_score_gemma":0.0003758825,"domain_scores_codex":[0.9993265,0.0001002161,0.00006940024,0.0001123905,0.000333606,0.00005795815],"domain_scores_gemma":[0.9992642,0.0001559591,0.0001570467,0.00008903145,0.0002650748,0.00006879063],"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":[0.0004416856,0.0003292266,0.002098629,0.002049244,0.00009290211,0.001067331,0.0004726648,0.03185395,0.7406238,0.007211685,0.002820699,0.2109382],"study_design_scores_gemma":[0.0004139989,0.008375039,0.009098462,0.0003946464,0.0003107897,0.003521979,0.0003247027,0.3895563,0.4653125,0.001842938,0.120539,0.0003096963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07581493,0.0009129895,0.9111304,0.0001645704,0.0004351234,0.000841368,0.0001828058,0.001429158,0.009088703],"genre_scores_gemma":[0.5764258,0.0005292226,0.4147835,0.00008619283,0.00005961316,0.0007193083,0.0002027979,0.0001202587,0.007073283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004508521,"threshold_uncertainty_score":0.01508254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07514766399511723,"score_gpt":0.3575763619366255,"score_spread":0.2824286979415083,"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."}}