{"id":"W4399588484","doi":"10.1002/adfm.202470132","title":"Multiscale Mineralization in the Leopard Gecko Eggshell (Adv. Funct. Mater. 24/2024)","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Materials science; Gecko; Biomineralization; Eggshell; Nanotechnology; Mineralization (soil science); Composite material; Chemical engineering; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004926788,0.0001127986,0.00005292128,0.0001538142,0.0001223547,0.0001899636,0.0000785916,0.0001602241,0.0006334272],"category_scores_gemma":[0.00004304326,0.0001202995,0.0001059171,0.00004252085,0.0001531879,0.0001570902,0.0001330154,0.0001740931,0.00007999336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803477,"about_ca_system_score_gemma":0.00008395832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468555,"about_ca_topic_score_gemma":0.003115827,"domain_scores_codex":[0.9999722,0.000001275505,8.659774e-7,0.00001124276,0.00000878098,0.000005658375],"domain_scores_gemma":[0.9999832,0.000004305303,0.0000047635,0.000001231452,0.000002978734,0.000003512526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004560387,0.000002766832,0.0003387622,0.00001205588,0.000002474788,0.00002675135,0.00001179956,0.0002264212,0.9984471,0.000097866,0.0000304106,0.0007989903],"study_design_scores_gemma":[0.000009256558,0.00008221689,0.0581945,0.00001041737,0.00001436524,0.0003678177,0.0001001284,0.01323542,0.9247265,0.0003359132,0.002907692,0.0000158153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942305,0.0005542008,0.00339088,0.00005652153,0.000009178012,0.000008512204,0.00008512809,0.00004284446,0.001622308],"genre_scores_gemma":[0.9942952,0.0002444488,0.003720753,0.00002073618,0.000003830281,0.000009849023,0.00006001879,0.00001024892,0.001634934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468555,"threshold_uncertainty_score":0.002919972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710376257258128,"score_gpt":0.252392231814033,"score_spread":0.2352884692414517,"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."}}