{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003779464,0.001355965,0.0005358916,0.0016662,0.001342286,0.004274216,0.0007805207,0.002472909,0.8676431],"category_scores_gemma":[0.0006196615,0.0004255021,0.0004551362,0.0008591536,0.0009672213,0.001355961,0.001173923,0.001340257,0.7627884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043763,"about_ca_system_score_gemma":0.001184466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249898,"about_ca_topic_score_gemma":0.004072487,"domain_scores_codex":[0.9996876,0.00002267196,0.000009306792,0.00008094063,0.0001415754,0.00005799585],"domain_scores_gemma":[0.9993326,0.0001178454,0.00003258603,0.0000539051,0.000171731,0.0002911727],"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":[0.0001357702,0.0001141097,0.0002235683,0.0001768361,0.000009035507,0.00009283187,0.00003239989,0.0001909847,0.001894965,0.005799448,0.8422186,0.1491115],"study_design_scores_gemma":[0.00001575808,0.00004570617,0.0004686931,0.00006699562,0.000003536677,0.00005495003,0.00002946058,0.0002099466,0.0005834216,0.001387102,0.9971293,0.000005131515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009586661,0.0003595207,0.000534559,0.001578524,0.002692659,0.00004947242,0.00126668,0.0004670713,0.9920928],"genre_scores_gemma":[0.001007365,0.0001395188,0.0001050596,0.0001820589,0.0002637993,0.000009058356,0.0002654799,0.000065138,0.9979625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1323569,"threshold_uncertainty_score":0.188791,"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."}}