{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000356964,0.001339511,0.0005230121,0.001804428,0.001397937,0.004388201,0.0007329048,0.002468443,0.8602059],"category_scores_gemma":[0.0006015971,0.0004382933,0.0004758593,0.0008953388,0.0008873456,0.001374159,0.001055216,0.00132031,0.7657897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009663275,"about_ca_system_score_gemma":0.001057194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324369,"about_ca_topic_score_gemma":0.004202874,"domain_scores_codex":[0.9996961,0.00002018664,0.000009308061,0.00008330458,0.0001387658,0.00005232987],"domain_scores_gemma":[0.9992806,0.000133466,0.00003223507,0.00005660329,0.0001997413,0.000297265],"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":[0.0001111016,0.0001127788,0.0002262216,0.0001454775,0.000008253524,0.00008887322,0.00002851538,0.0001756752,0.001767819,0.004973147,0.845369,0.1469933],"study_design_scores_gemma":[0.00001422883,0.00004265131,0.0004810314,0.00006195671,0.000003662751,0.00006184207,0.00002976133,0.0002145096,0.0006078128,0.001328163,0.9971487,0.0000057304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008455422,0.0003382065,0.0004851525,0.001342458,0.002628155,0.00003975173,0.0009777049,0.0004681681,0.9928749],"genre_scores_gemma":[0.0009350738,0.0001430563,0.00009814046,0.0001941307,0.0002898122,0.000007462584,0.0002415237,0.00006769357,0.998023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1397941,"threshold_uncertainty_score":0.1993992,"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."}}