{"id":"W4366997749","doi":"10.1117/12.2678600","title":"Front Matter: Volume 12424","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":"National Research Council Canada; University of Twente; University of Sussex; Université Grenoble Alpes; Universidad de Málaga; University of Ottawa; Technische Universität Chemnitz; Purdue University","keywords":"Volume (thermodynamics); Front (military); Computer science; Physics; Engineering; Mechanical engineering; 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":[0.00004027507,0.0003531662,0.0004812019,0.0001145038,0.00002833839,0.00006510849,0.0002195428,0.0003218687,0.2056594],"category_scores_gemma":[0.000003875254,0.0003278893,0.00009675209,0.00005602522,0.00001784663,0.00007496162,0.00006579325,0.0002142182,0.6929222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000936379,"about_ca_system_score_gemma":0.00001304942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005028391,"about_ca_topic_score_gemma":0.00001271888,"domain_scores_codex":[0.9989212,0.00001086061,0.0003074008,0.0002668807,0.0001182325,0.0003754875],"domain_scores_gemma":[0.9994715,0.00001793913,0.00003703269,0.0003713742,0.0000189465,0.00008321182],"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":[0.000001154278,0.000001705543,0.000001011998,0.0002327896,0.0000436059,0.000003847927,0.00001768611,0.002104789,0.03310825,9.245072e-7,0.9642524,0.0002318353],"study_design_scores_gemma":[0.00007508694,0.000009481131,0.00001451142,0.00006747105,0.00001478998,0.000002999685,0.00001116692,0.0002521916,0.01413192,0.00004701188,0.9849222,0.0004511213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006870347,0.002197051,0.005167088,0.00001690973,0.0470598,0.0004532667,0.001058387,0.001810209,0.9353669],"genre_scores_gemma":[0.001256846,0.0008135415,0.0004727301,0.00007165235,0.001076275,0.00006624994,0.0003639409,0.0002712529,0.9956075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4872628,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299526253969286,"score_gpt":0.2317689257406434,"score_spread":0.2187736632009506,"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."}}