{"id":"W2091877834","doi":"10.1002/adem.200890023","title":"Cover Picture: Metallic Foams (Adv. Eng. Mater. 9/2008)","year":2008,"lang":"en","type":"paratext","venue":"Advanced Engineering Materials","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Nanotechnology; Porosity; Metal foam; Metallurgy; Forensic engineering; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000436961,0.001356737,0.002078074,0.0002863247,0.0002102411,0.0002775571,0.001062585,0.0007220677,0.02877631],"category_scores_gemma":[0.0001190109,0.001235115,0.0003032034,0.000286694,0.0001176893,0.0005503462,0.0003366108,0.0003802591,0.03915153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047728,"about_ca_system_score_gemma":0.0001356707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995828,"about_ca_topic_score_gemma":8.090135e-7,"domain_scores_codex":[0.995053,0.0001262268,0.001353969,0.001289967,0.0007496681,0.001427178],"domain_scores_gemma":[0.9975482,0.0001284802,0.0006152289,0.001249031,0.0001477213,0.0003114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005026725,0.00004984253,9.351206e-8,0.0005613123,0.00008446888,0.00008446734,0.00007542859,0.01424965,0.939772,0.00007645413,0.04488583,0.000110201],"study_design_scores_gemma":[0.0004684274,0.00007236112,0.000007442446,0.0002409378,0.0000629626,0.00009090022,0.000004467587,0.0000133161,0.6332,0.00002972902,0.3648576,0.0009518921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138576,0.01173912,0.003663842,0.00008074189,0.05505377,0.00198698,0.004947726,0.001325392,0.007344854],"genre_scores_gemma":[0.5176041,0.0180638,0.04045498,0.0009104316,0.008611199,0.001529751,0.004246166,0.002124638,0.406455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3991101,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008440727075476592,"score_gpt":0.2221039989223993,"score_spread":0.2136632718469227,"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."}}