{"id":"W4323054987","doi":"10.1016/s0034-3617(21)00278-2","title":"Strong-as-steel CFRP","year":2021,"lang":"en","type":"article","venue":"Reinforced Plastics","topic":"Material Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"Download; Engineering; Advertising; Business; World Wide Web; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004776915,0.0009509791,0.0002111263,0.001154336,0.0004925247,0.000510996,0.0005466922,0.0007690533,0.01065119],"category_scores_gemma":[0.0007599486,0.0002136124,0.0002604031,0.0006957073,0.0004652397,0.0006867128,0.000419904,0.0005702684,0.003211932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003434858,"about_ca_system_score_gemma":0.0004694296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006228939,"about_ca_topic_score_gemma":0.001794632,"domain_scores_codex":[0.9994016,0.0000540068,0.00002609273,0.000118905,0.0003118066,0.00008761189],"domain_scores_gemma":[0.999312,0.00008233453,0.0001034209,0.0001153254,0.000315585,0.00007135673],"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":[0.0004244797,0.000117994,0.002215172,0.0005395638,0.00002344029,0.0004452049,0.0000625125,0.002471523,0.9342414,0.00845565,0.00492905,0.04607412],"study_design_scores_gemma":[0.00003924101,0.0006532973,0.01157126,0.00007950813,0.00005329109,0.001114245,0.000105778,0.005098065,0.9139357,0.001340663,0.06596909,0.00003993922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7086326,0.003375598,0.07085862,0.000830858,0.001218824,0.0003853901,0.002227045,0.002206173,0.210265],"genre_scores_gemma":[0.9417061,0.0005051626,0.01827335,0.0002932928,0.00008567603,0.00007397289,0.0007822507,0.0001633307,0.03811689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065119,"threshold_uncertainty_score":0.03563184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750502123378949,"score_gpt":0.2393331478070315,"score_spread":0.2218281265732421,"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."}}