{"id":"W1979023505","doi":"10.1016/j.jmbbm.2013.02.001","title":"“Science and Engineering of Natural Materials: Merging Structure and Materials”","year":2013,"lang":"en","type":"editorial","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":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Armour; Stiffness; Natural materials; Biomimetic materials; Biomimetics; Materials science; Soft materials; Mechanism (biology); Composite number; Nanotechnology; Mechanical engineering; Biological system; Structural engineering; Computer science; Composite material; Engineering; Polymer science; Physics; Biology","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0109416,0.001259534,0.005288447,0.001687336,0.0002137967,0.000487004,0.003110558,0.002434066,0.003574288],"category_scores_gemma":[0.007435735,0.0008421957,0.000553723,0.001092622,0.003031697,0.0009844155,0.00196556,0.001283637,0.000003933404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430633,"about_ca_system_score_gemma":0.00169022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394634,"about_ca_topic_score_gemma":0.0000016527,"domain_scores_codex":[0.9797334,0.00111186,0.009321691,0.0009369806,0.007734755,0.00116128],"domain_scores_gemma":[0.9813459,0.0008992695,0.01148736,0.0009498889,0.004111227,0.00120636],"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":[0.001173336,0.0007541878,0.000001148918,0.001562697,0.0001162234,0.0001208656,0.0000974628,3.285182e-7,0.990419,0.0005619411,0.004738138,0.0004546248],"study_design_scores_gemma":[0.003334765,0.00273369,0.0001799074,0.003669631,0.001948616,0.001088668,0.0001120696,0.000004128181,0.983627,0.0003734249,0.002193277,0.0007348759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7479034,0.0002886947,0.000147011,0.0002527142,0.2474835,0.0007793073,0.003121839,0.00002292014,5.742459e-7],"genre_scores_gemma":[0.9581484,0.0005997447,0.003989038,0.00004310845,0.03688307,0.00002761826,0.0001185773,0.0001741613,0.00001635131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2106005,"threshold_uncertainty_score":0.9996815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007809179386574947,"score_gpt":0.2498156169185574,"score_spread":0.2420064375319825,"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."}}