{"id":"W4399739863","doi":"10.1149/2.f07242if","title":"Tech Highlights","year":2024,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Engineering ethics; Library science; Engineering; Computer 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":[0.0001057081,0.0001883488,0.0001265564,0.0000142578,0.00006908362,0.0001016986,0.0003369417,0.0001312367,0.0000389337],"category_scores_gemma":[0.00000479857,0.0001306944,0.0001997419,0.00034132,0.00006515633,0.00006287768,0.0000435472,0.0006103003,0.0001355766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334118,"about_ca_system_score_gemma":0.000014923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000258428,"about_ca_topic_score_gemma":0.000001819186,"domain_scores_codex":[0.999059,0.000007481788,0.0001582803,0.0001957227,0.0001467884,0.0004327583],"domain_scores_gemma":[0.9996082,0.00008422766,0.000006666397,0.0002304643,0.0000178494,0.00005260119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002273712,0.000006744508,5.897686e-7,0.00004474469,0.0001328967,9.325275e-7,0.0002985466,0.0003169496,0.9802907,0.007451189,0.010947,0.0005074928],"study_design_scores_gemma":[0.00003715463,0.000020119,0.000001219236,0.00002325772,0.00002149936,0.00002080266,0.00001293531,0.6326522,0.344844,0.002585358,0.01962811,0.0001533115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2524441,0.01954402,0.7118979,0.003858045,0.0007113318,0.0002878739,0.000009186811,0.003179129,0.008068408],"genre_scores_gemma":[0.9970824,0.0009063678,0.0007084096,0.000103803,0.0001946456,0.00002049872,0.00000952093,0.0000578756,0.0009165188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7446383,"threshold_uncertainty_score":0.5329564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003302865832585873,"score_gpt":0.2062907655452104,"score_spread":0.2029878997126245,"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."}}