{"id":"W2069136258","doi":"10.1016/j.jmbbm.2014.09.025","title":"Teleost fish scales amongst the toughest collagenous materials","year":2014,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Toughening; Composite material; Fracture mechanics; Toughness; Bridging (networking); Cohesion (chemistry); Fracture (geology); Tension (geology); Fracture toughness; Structural engineering; Ultimate tensile strength; Computer science; Chemistry; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01323488,0.0009057855,0.003528557,0.000601037,0.0003530518,0.0003831066,0.003786312,0.001263041,0.007704615],"category_scores_gemma":[0.003424016,0.0005206346,0.001089299,0.0009494364,0.002274558,0.0005671922,0.001101019,0.0007468448,0.00003238365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092705,"about_ca_system_score_gemma":0.00057779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020177,"about_ca_topic_score_gemma":0.000009891484,"domain_scores_codex":[0.9818448,0.002706764,0.008679927,0.0006426749,0.005017486,0.001108325],"domain_scores_gemma":[0.9861041,0.0009029211,0.008781201,0.001185326,0.00192325,0.001103245],"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":[0.00144544,0.00225724,0.00001653624,0.0002979143,0.00008707454,0.0001486082,0.00009609257,9.045855e-7,0.9915483,0.001290847,0.001604552,0.001206465],"study_design_scores_gemma":[0.003552299,0.003788213,0.001619014,0.001188677,0.0014274,0.002075534,0.0002277652,0.000003179317,0.9821047,0.001035168,0.002440624,0.00053747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780529,0.00007914269,0.001494672,0.002890684,0.01492164,0.001055225,0.001456197,0.00004110896,0.000008489267],"genre_scores_gemma":[0.9946126,0.000188606,0.002114374,0.000478819,0.002334982,0.00004983816,0.00005859638,0.0001281511,0.00003408458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165597,"threshold_uncertainty_score":0.9997245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485087341995017,"score_gpt":0.2540855066449477,"score_spread":0.2392346332249976,"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."}}