{"id":"W2473628845","doi":"10.1177/2010105816655366","title":"The power function of the ten test for measuring neural sensitivity in clinical pain or sensory abnormalities","year":2016,"lang":"en","type":"article","venue":"Proceedings of Singapore Healthcare","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Quantitative sensory testing; Test (biology); Sensitivity (control systems); Normative; Clinical Practice; Sensory system; Psychology; Function (biology); Power (physics); Audiology; Medicine; Medical physics; Computer science; Physical therapy; Cognitive psychology; Engineering","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":[0.008203107,0.001860721,0.001576201,0.005628004,0.0004315116,0.001721704,0.001984495,0.001534545,0.005860072],"category_scores_gemma":[0.02933209,0.0003575422,0.001589061,0.003157985,0.001962456,0.001951346,0.001493949,0.00172675,0.002094208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009702237,"about_ca_system_score_gemma":0.001052905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661933,"about_ca_topic_score_gemma":0.001839536,"domain_scores_codex":[0.9887387,0.004234595,0.001057997,0.0007257608,0.004952902,0.0002900897],"domain_scores_gemma":[0.9817469,0.01269835,0.002024473,0.0005584377,0.002705937,0.0002659819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008262267,0.0002114402,0.04332384,0.005541662,0.0005132108,0.001232228,0.0004023347,0.003866478,0.01454424,0.01595496,0.01538984,0.8981935],"study_design_scores_gemma":[0.0003266605,0.009860757,0.5099554,0.01232568,0.002172267,0.06764477,0.002726319,0.04864362,0.0450904,0.08106391,0.2189365,0.001253673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07956643,0.3083245,0.4648156,0.004800096,0.005340275,0.001510276,0.003148349,0.001938412,0.1305561],"genre_scores_gemma":[0.6244224,0.1243378,0.2226673,0.003129755,0.001856207,0.003024315,0.001921067,0.0005358228,0.01810536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008203107,"threshold_uncertainty_score":0.0433827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0750781504233047,"score_gpt":0.3278025463658498,"score_spread":0.2527243959425451,"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."}}