{"id":"W4249886886","doi":"10.32920/ryerson.14656773.v1","title":"Modification and integration of shear thickening fluids into high performance fabrics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dilatant; Kevlar; Materials science; Composite material; Stab; Scanning electron microscope; Shear (geology); Fourier transform infrared spectroscopy; Armour; Epoxy; Layer (electronics); Chemical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007714916,0.0001691292,0.0003016375,0.00008662829,0.0001143388,0.0002480816,0.0001790127,0.0001693805,0.0007533922],"category_scores_gemma":[0.000120537,0.0001491685,0.00002973878,0.00008670733,0.00009226468,0.0002250371,0.0003920108,0.0001446673,0.00002220015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005462539,"about_ca_system_score_gemma":0.000151665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033708,"about_ca_topic_score_gemma":0.00003740501,"domain_scores_codex":[0.9985704,0.0001206923,0.0004868879,0.0003937749,0.0002986403,0.0001296062],"domain_scores_gemma":[0.9989445,0.00004537377,0.0002215315,0.0004134249,0.0003337667,0.00004137925],"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":[0.00001277588,0.00003009581,0.00006206323,0.0002803122,0.000004871906,1.810056e-7,0.001746554,0.002392721,0.9903318,0.001686238,0.00005227991,0.003400137],"study_design_scores_gemma":[0.0001528482,0.00008250024,0.01511518,0.0003068925,0.00005085564,0.000002307939,0.0005168564,0.04236395,0.9394576,0.00168391,0.00002655418,0.0002405303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561406,0.0001275671,0.04200038,0.0002312592,0.00085258,0.0002364329,0.00001827552,0.00006639087,0.0003265393],"genre_scores_gemma":[0.9593665,0.0002624893,0.03986793,0.00003720773,0.00008888557,0.00005776533,0.0001734981,0.00001479774,0.0001309304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05087416,"threshold_uncertainty_score":0.8249116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04849276221589535,"score_gpt":0.2986872502624018,"score_spread":0.2501944880465065,"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."}}