{"id":"W4381855081","doi":"10.1149/2.f06232if","title":"Tech Highlights - Summer 2023","year":2023,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Engineering; Environmental science; Library science; Nanotechnology; Computer science; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001116543,0.0001612768,0.0001485771,0.00001084879,0.00009669042,0.00003273896,0.0002703076,0.0001004548,0.00008461095],"category_scores_gemma":[0.000028885,0.0001155444,0.0001071741,0.0003494908,0.00006283263,0.00005456073,0.00005635736,0.0002270939,0.0005852258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000684965,"about_ca_system_score_gemma":0.000003574528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007181802,"about_ca_topic_score_gemma":0.000001358702,"domain_scores_codex":[0.9990894,0.00001312839,0.0001582864,0.0001575893,0.0001281594,0.0004534689],"domain_scores_gemma":[0.9995746,0.0001112599,0.00001711467,0.0002239591,0.00002007854,0.00005299391],"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":[0.00000396521,0.00000329865,0.000001918416,0.00001607235,0.00004162615,4.938213e-7,0.000160405,0.001966798,0.9617102,0.0001648749,0.03583907,0.00009126857],"study_design_scores_gemma":[0.00008690922,0.00001101872,0.00001610065,0.00001426872,0.000009824678,0.000004509565,0.00005956281,0.004629073,0.9590413,0.0009699208,0.03500016,0.00015736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612026,0.0005193775,0.02764098,0.001302312,0.0006314254,0.0001629147,0.000008996935,0.003350156,0.005181234],"genre_scores_gemma":[0.9952306,0.000340008,0.0005631868,0.0001084767,0.0002590157,0.00002749389,0.00001808555,0.0000504815,0.003402689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03402796,"threshold_uncertainty_score":0.7522089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348900363421359,"score_gpt":0.2441853406489874,"score_spread":0.2306963370147738,"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."}}