{"id":"W4409493255","doi":"10.1117/12.3068774","title":"Front Matter: Volume 13316","year":2025,"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":"University of California, Davis; University of California, Los Angeles; U.S. Food and Drug Administration; Universität Wien; Medizinische Universität Wien; Latvijas Universitate; Florida International University; International Collaboration on Repair Discoveries; 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":[0.00002899562,0.0003505959,0.0005012857,0.0001154623,0.00002815964,0.0000596627,0.0002308766,0.0003310627,0.2730568],"category_scores_gemma":[0.000003326967,0.0003247375,0.00009683803,0.00004362589,0.00001646848,0.00007093538,0.00006466944,0.0002106993,0.2083417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116717,"about_ca_system_score_gemma":0.00002527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005066197,"about_ca_topic_score_gemma":0.000007304961,"domain_scores_codex":[0.999034,0.00001203075,0.0003041712,0.0002535931,0.00008699335,0.0003091827],"domain_scores_gemma":[0.9994767,0.00001559979,0.00003362104,0.0003889128,0.00002397804,0.00006120751],"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":[0.000001679621,0.000002701049,0.000001902185,0.0003550813,0.00004907658,0.000001459424,0.000009979954,0.001190423,0.02451001,0.000002401406,0.9734075,0.0004677669],"study_design_scores_gemma":[0.00008514139,0.000006306068,0.000005838111,0.0001058362,0.00001930365,0.00000162865,0.000005869137,0.0001283599,0.02510386,0.00003533748,0.9741388,0.0003637064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001623063,0.003467247,0.01085589,0.00001191856,0.01845829,0.0002750169,0.0004996147,0.000382218,0.9644268],"genre_scores_gemma":[0.001845476,0.0007405285,0.0009873732,0.0001725118,0.0005744105,0.00005243309,0.0002559333,0.00008265521,0.9952887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06471512,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007359657825821617,"score_gpt":0.2228017433064248,"score_spread":0.2154420854806032,"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."}}