{"id":"W2557143087","doi":"","title":"Haptic Personal Trainer","year":2010,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trainer; Haptic technology; Computer science; Human–computer interaction; Multimedia; Arduino; Wearable computer; Simulation; Embedded system","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":[0.0006929048,0.000940463,0.0005889696,0.0007435498,0.0003917844,0.0007189966,0.001660104,0.001533505,0.2106271],"category_scores_gemma":[0.002020755,0.0004186061,0.0004762157,0.0003825676,0.0003627859,0.001343724,0.001842565,0.0007563817,0.03714138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839945,"about_ca_system_score_gemma":0.0003119218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003882106,"about_ca_topic_score_gemma":0.0004391749,"domain_scores_codex":[0.999491,0.0000595025,0.00003824348,0.0001320965,0.000224349,0.00005476089],"domain_scores_gemma":[0.998931,0.0002757503,0.00007365682,0.0003681219,0.0002145371,0.0001368179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00105032,0.0004487197,0.001725773,0.001513832,0.00005323134,0.0005385285,0.0005639486,0.002509966,0.1954905,0.005727615,0.06574893,0.7246287],"study_design_scores_gemma":[0.0006510065,0.003092975,0.01088545,0.0002987748,0.0002008798,0.005857299,0.0002671081,0.0433612,0.1123151,0.002655079,0.8201129,0.000302258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05615222,0.001501292,0.7043316,0.001176659,0.001770495,0.00203138,0.003433034,0.0361274,0.1934759],"genre_scores_gemma":[0.3435425,0.001134376,0.1718554,0.001491002,0.0005791713,0.001188607,0.002351623,0.001155638,0.4767016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2106271,"threshold_uncertainty_score":0.7046179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007379461181025237,"score_gpt":0.1900171846317748,"score_spread":0.1826377234507496,"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."}}