{"id":"W4381616177","doi":"10.1117/12.2689935","title":"Front Matter: Volume 12536","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":"Sandia National Laboratories; Oak Ridge National Laboratory; Consiglio Nazionale delle Ricerche; Université Laval; Cranfield University; Euskal Herriko Unibertsitatea; University of South Carolina; Boeing","keywords":"Front (military); Volume (thermodynamics); Computer science; Geology; Physics; Oceanography","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":[0.0003591812,0.001417314,0.0005578607,0.001781087,0.001387757,0.004247218,0.0007651406,0.002499361,0.8772811],"category_scores_gemma":[0.0007048804,0.00042682,0.0004677077,0.0009330764,0.0009748019,0.001352953,0.001113035,0.001285669,0.7802446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004186,"about_ca_system_score_gemma":0.001166402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783632,"about_ca_topic_score_gemma":0.005017714,"domain_scores_codex":[0.9996899,0.00002089704,0.00001020311,0.00008691695,0.0001360276,0.00005610672],"domain_scores_gemma":[0.9992975,0.0001265717,0.00003326548,0.0000560112,0.0001856492,0.0003011048],"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":[0.0001346235,0.0001034732,0.0002221548,0.0001604266,0.000008219482,0.00009029931,0.00003464798,0.0001777262,0.001673627,0.004416545,0.8375849,0.1553934],"study_design_scores_gemma":[0.00001560163,0.00003964272,0.0004707313,0.00006503853,0.000003614901,0.00005656323,0.00002984837,0.0001846906,0.0005104069,0.001198744,0.9974198,0.000005364225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000960806,0.0003975421,0.0005161369,0.001675732,0.002845474,0.00005133983,0.001467135,0.0005590487,0.9915267],"genre_scores_gemma":[0.0009916794,0.0001462369,0.00009817092,0.0001887226,0.0002472462,0.000008288644,0.0002637807,0.00006580377,0.9979901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1227189,"threshold_uncertainty_score":0.1750436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298947918356459,"score_gpt":0.231417927917494,"score_spread":0.2184284487339294,"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."}}