{"id":"W2011908338","doi":"10.1016/s1672-6529(11)60041-3","title":"Multiscale mechanics and optimization of gastropod shells","year":2011,"lang":"en","type":"article","venue":"Journal of Bionic Engineering","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University","keywords":"Shell (structure); Microscale chemistry; Materials science; Brittleness; Stiffness; Representative elementary volume; Structural engineering; Composite material; Finite element method; Microstructure; Layer (electronics); Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001939348,0.00004937653,0.0001031496,0.00008808554,0.00001153157,0.000009786768,0.00004512877,0.00003229374,0.0003193268],"category_scores_gemma":[0.00003625116,0.00004394505,0.00003128232,0.0000668896,0.000008611984,0.0001627798,0.00001652357,0.00004513924,0.000001013277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065941,"about_ca_system_score_gemma":0.00001378706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001788767,"about_ca_topic_score_gemma":2.67303e-7,"domain_scores_codex":[0.999507,0.000009177188,0.0002607357,0.00004659519,0.0001078543,0.00006861272],"domain_scores_gemma":[0.9996437,0.000009534454,0.0001597103,0.00004537158,0.00009689094,0.00004472035],"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":[0.00001455445,0.00002397331,0.00001002214,0.00003003901,0.000004016241,0.000002641915,0.0001792834,0.1182014,0.8801814,0.001278515,0.00001911476,0.0000550755],"study_design_scores_gemma":[0.0006744068,0.0002417223,0.0002109532,0.0001931852,0.00002916273,0.0001532238,0.0001322097,0.354123,0.6439168,0.0001113527,0.00009976151,0.0001142603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2389527,0.0001614226,0.7605114,0.0000116353,0.0002434073,0.00003316129,0.000002889717,0.00001037034,0.00007304495],"genre_scores_gemma":[0.9102424,0.00009214508,0.08961137,0.000006691378,0.00003266224,2.500477e-7,6.859481e-7,0.000007058216,0.000006782146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6712897,"threshold_uncertainty_score":0.3496405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278066949856025,"score_gpt":0.193139156451838,"score_spread":0.1803584869532778,"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."}}