{"id":"W4210509436","doi":"10.3390/s22030874","title":"Development of a Smart Clinical Bluetooth Thermometer Based on an Improved Low-Power Resistive Transducer Circuit","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Bluetooth; Resistive touchscreen; Thermometer; Transducer; Smart transducer; Power consumption; Electrical engineering; Power (physics); Electronic engineering; Computer science; Engineering; Wireless; Telecommunications","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":[0.0008119897,0.0004517775,0.0007001084,0.0006663491,0.0001680949,0.0005822917,0.001593971,0.0008812501,0.002273447],"category_scores_gemma":[0.001401923,0.0004527028,0.0004467557,0.0004481985,0.0003241786,0.001222062,0.0005359416,0.0006163747,0.001415131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459837,"about_ca_system_score_gemma":0.0004840534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202311,"about_ca_topic_score_gemma":0.0002053062,"domain_scores_codex":[0.9990851,0.0001683227,0.00006612118,0.0001767093,0.0004563045,0.00004749589],"domain_scores_gemma":[0.9993375,0.0001818616,0.0001101113,0.00007371224,0.0002517989,0.00004494437],"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":[0.0003513134,0.0001522845,0.001673557,0.00080708,0.00006769763,0.0003368741,0.0001383915,0.001682391,0.8691588,0.003647442,0.003962169,0.118022],"study_design_scores_gemma":[0.0003864149,0.003707412,0.006941431,0.00013181,0.0004386253,0.007917401,0.00009595825,0.08830173,0.8124664,0.001220108,0.0781817,0.0002108507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08182116,0.003761173,0.8976918,0.001755886,0.001019383,0.001160207,0.0003692556,0.003523586,0.008897465],"genre_scores_gemma":[0.442521,0.00221197,0.5406885,0.001787185,0.0005047939,0.0009002127,0.0003584766,0.0002347006,0.01079321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002273447,"threshold_uncertainty_score":0.007605433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008591172060108,"score_gpt":0.2831285151024621,"score_spread":0.243042603381861,"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."}}