{"id":"W3007051726","doi":"10.1073/pnas.1916562117","title":"Tunable and precise miniature lithium heater for point-of-care applications","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Lithium (medication); Point of care; Point (geometry); Nuclear engineering; Materials science; Environmental science; Engineering physics; Engineering; Medicine; Mathematics; Internal medicine; Nursing","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":[0.000592734,0.0004547559,0.0004078432,0.0003174101,0.0002238242,0.0006456769,0.001179482,0.0008936615,0.003023623],"category_scores_gemma":[0.0009160296,0.0002417509,0.0004154288,0.0002097999,0.0004801439,0.001162215,0.0004893342,0.001046253,0.001533021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374147,"about_ca_system_score_gemma":0.0003587816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000270685,"about_ca_topic_score_gemma":0.0004005418,"domain_scores_codex":[0.9996574,0.00004064576,0.00002220396,0.00007516806,0.000169856,0.00003475615],"domain_scores_gemma":[0.9995841,0.00009497323,0.00009591037,0.00006453467,0.0001184997,0.00004201931],"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":[0.00009070028,0.00006600668,0.0003819303,0.00020376,0.00001200717,0.00008635585,0.00006550663,0.0008535886,0.9726138,0.001911355,0.002087216,0.02162773],"study_design_scores_gemma":[0.00002874062,0.0003487843,0.0006486018,0.00001969845,0.00002026976,0.0002716488,0.00003297093,0.008110284,0.958157,0.0003116346,0.0320098,0.00004062984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3598071,0.01051526,0.5907593,0.005225258,0.001698621,0.001020313,0.001467904,0.008695382,0.02081082],"genre_scores_gemma":[0.6945671,0.002514651,0.2819346,0.0008129147,0.0002418236,0.0006635349,0.0004804176,0.0002743455,0.01851059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003023623,"threshold_uncertainty_score":0.01011503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332394775483341,"score_gpt":0.2585189394632341,"score_spread":0.2351949917084007,"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."}}