{"id":"W4375945261","doi":"10.1117/12.2682179","title":"Front Matter: Volume 12470","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Robarts Research Institute; University of Colorado Boulder; Genentech; Danmarks Tekniske Universitet; Washington University in St. Louis; Pohang University of Science and Technology; Erasmus Universiteit Rotterdam; Imperial College London; National Physical Laboratory; Barbara Ann Karmanos Cancer Institute; Worcester Polytechnic Institute; Karlsruhe Institute of Technology; University of Bern; Universidad Complutense de Madrid; Eidgenössische Technische Hochschule Zürich; University of Rochester; Vanderbilt University","keywords":"Front (military); Volume (thermodynamics); Computer science; Geology; Physics; Oceanography; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004044935,0.000352345,0.0004837024,0.0001135763,0.00002890914,0.00006386527,0.0002212609,0.0003220276,0.2053776],"category_scores_gemma":[0.000003968602,0.0003284203,0.00009662909,0.00005592622,0.00001791832,0.00007568635,0.00006553486,0.0002127091,0.6862285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009291613,"about_ca_system_score_gemma":0.00001297585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000540787,"about_ca_topic_score_gemma":0.00001326967,"domain_scores_codex":[0.9989215,0.00001106025,0.0003081884,0.0002655843,0.0001171275,0.0003765471],"domain_scores_gemma":[0.9994681,0.00001810214,0.00003792326,0.0003731083,0.00001908595,0.00008368998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001129909,0.000001685645,8.442444e-7,0.0002222144,0.00004286007,0.000003842629,0.00001781923,0.002349915,0.02909639,6.803719e-7,0.9680647,0.0001979023],"study_design_scores_gemma":[0.00007369156,0.000008935757,0.00001325079,0.00006342243,0.00001406299,0.000002874482,0.00001079527,0.0002212156,0.01282557,0.00003186491,0.9862964,0.0004379596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00538535,0.002166604,0.004186599,0.0000175669,0.06873908,0.0004633152,0.001493222,0.001838762,0.9157095],"genre_scores_gemma":[0.0006598785,0.0008437204,0.0004686426,0.00007426721,0.001732282,0.00006688842,0.0004907339,0.000271099,0.9953925],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4808508,"threshold_uncertainty_score":0.9999168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298353273396472,"score_gpt":0.2314177250361683,"score_spread":0.2184341923022036,"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."}}