{"id":"W2772829677","doi":"","title":"Lightweight Metal/Polymer/Metal Sandwich Composites for Automotive Applications","year":2017,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Material Selection and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Politecnico di Torino; University of Windsor","keywords":"Composite material; Materials science; Metal; Automotive industry; Polymer; Metallurgy; Engineering","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005437448,0.0002271062,0.000406816,0.0001441535,0.002699926,0.0002086658,0.001126314,0.0001862322,0.002404533],"category_scores_gemma":[0.00008148998,0.0002360402,0.0002210217,0.0001102069,0.0004712782,0.001078087,0.0003596128,0.0001478515,0.0004516865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007543059,"about_ca_system_score_gemma":0.00007462777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206293,"about_ca_topic_score_gemma":0.0002285172,"domain_scores_codex":[0.9984678,0.0001313842,0.0002138276,0.0004962932,0.0003131171,0.000377567],"domain_scores_gemma":[0.9982569,0.00007967532,0.0004308345,0.0007173804,0.000335278,0.0001799402],"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":[0.0003943106,0.0001193765,0.003822145,0.00007713338,0.00007011445,0.000002798291,0.0006258928,0.000002899535,0.9921871,0.001863728,0.0003358372,0.0004986745],"study_design_scores_gemma":[0.001174891,0.0001774577,0.02541452,0.00003623698,0.0001534367,0.00001001382,0.0002592919,0.00003004284,0.9408308,0.0006500335,0.03092624,0.0003369852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912135,0.0002704019,0.0008833378,0.001043965,0.0004194845,0.0006286742,0.0002373823,0.0001455412,0.005157742],"genre_scores_gemma":[0.9865622,0.00001996289,0.002065892,0.00007305751,0.0001449856,0.000008121363,0.00004090845,0.00002474863,0.01106013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05135624,"threshold_uncertainty_score":0.9985984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705200520384561,"score_gpt":0.246160124984573,"score_spread":0.2191081197807273,"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."}}