{"id":"W2036215363","doi":"10.1097/01.phm.0000223232.32653.7f","title":"Three Types of Skin-Surface Thermometers","year":2006,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermistor; Intraclass correlation; Medicine; Skin temperature; Thermometer; Reliability (semiconductor); Infrared thermometer; Surgery; Intra-rater reliability; Anesthesia; Physical therapy; Biomedical engineering; Confidence interval; Internal medicine; Infrared; Psychometrics","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":[0.005325973,0.001384415,0.001127875,0.002879829,0.0003175327,0.001206647,0.001819425,0.001504387,0.004509367],"category_scores_gemma":[0.01753102,0.0007626394,0.001340963,0.001795752,0.0008514723,0.001309598,0.001464503,0.00107162,0.002141707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919117,"about_ca_system_score_gemma":0.0005783105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003890262,"about_ca_topic_score_gemma":0.0004373842,"domain_scores_codex":[0.9884868,0.003876376,0.0008772364,0.001800422,0.00462898,0.0003302266],"domain_scores_gemma":[0.9859891,0.005835037,0.002024321,0.001923164,0.003617842,0.0006105129],"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":[0.00640463,0.0008836927,0.1409327,0.003964135,0.0007099705,0.0003978979,0.001134022,0.002741832,0.1663316,0.002186325,0.005584707,0.6687285],"study_design_scores_gemma":[0.002813233,0.02419352,0.6098177,0.002401772,0.002835657,0.01818527,0.001869912,0.04369072,0.2177788,0.005568185,0.06961036,0.001234955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5174081,0.01052926,0.4396597,0.001041666,0.002452438,0.003600414,0.003656973,0.006184799,0.01546661],"genre_scores_gemma":[0.661899,0.003724783,0.3168299,0.001064882,0.0008087612,0.003621508,0.001707764,0.000318576,0.01002484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005325973,"threshold_uncertainty_score":0.02816677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004687411895322538,"score_gpt":0.2667800862325312,"score_spread":0.2620926743372087,"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."}}