{"id":"W2531618227","doi":"10.1088/1748-3190/11/6/066001","title":"Stretch-and-release fabrication, testing and optimization of a flexible ceramic armor inspired from fish scales","year":2016,"lang":"en","type":"article","venue":"Bioinspiration & Biomimetics","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Armour; Fabrication; Ceramic; Substrate (aquarium); Materials science; Scale (ratio); Fish <Actinopterygii>; Mechanical engineering; Nanotechnology; Layer (electronics); Computer science; Structural engineering; Engineering; Composite material; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005293422,0.0003989238,0.0002422236,0.0002891168,0.0002184638,0.0003150069,0.0004084769,0.0003709525,0.0005141469],"category_scores_gemma":[0.0005605274,0.0001985333,0.0003744442,0.0002019905,0.0003817416,0.0003019534,0.0003306069,0.0002547316,0.0001650507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186964,"about_ca_system_score_gemma":0.0002985084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007014815,"about_ca_topic_score_gemma":0.001259,"domain_scores_codex":[0.999615,0.00002718638,0.00003270449,0.00007204426,0.0001845026,0.00006870946],"domain_scores_gemma":[0.9994901,0.00007110029,0.0002022191,0.00007995919,0.00007225014,0.00008441669],"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":[0.00005500567,0.00004297,0.0003922598,0.0000580034,0.000006169223,0.00006813177,0.00004713848,0.002211463,0.9936703,0.00009640372,0.00003620722,0.00331596],"study_design_scores_gemma":[0.00002074676,0.001680008,0.006820818,0.00001074711,0.00001973249,0.0001039908,0.0000657151,0.01076456,0.9787248,0.00003460651,0.001723015,0.00003126545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842748,0.0002486452,0.01438783,0.00003023266,0.00001860162,0.00009623674,0.00008990531,0.000105148,0.000748561],"genre_scores_gemma":[0.9784204,0.0001796361,0.02024559,0.000008927801,0.000004422643,0.00004973168,0.00005401289,0.0000227673,0.001014475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007014815,"threshold_uncertainty_score":0.002799511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908870432562265,"score_gpt":0.2105475812920006,"score_spread":0.1914588769663779,"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."}}