{"id":"W4409398080","doi":"10.1002/adem.202500297","title":"From Nature to Engineering: Mortar Volume and Interfacial Mechanics in Bioinspired Ceramics","year":2025,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Mortar; Volume (thermodynamics); Ceramic; Composite material; Mechanical engineering; Mechanics; Nanotechnology; Engineering; Thermodynamics; Physics","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":[0.0001367831,0.0001892556,0.0001080607,0.0001905428,0.00009834443,0.0002274978,0.0001549688,0.0001257419,0.0005642105],"category_scores_gemma":[0.0001709742,0.0001256195,0.0001034415,0.0001166305,0.000232253,0.0002412326,0.0001158839,0.0002151914,0.00008880731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181771,"about_ca_system_score_gemma":0.00009281911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005011616,"about_ca_topic_score_gemma":0.001588192,"domain_scores_codex":[0.9999326,0.000007810229,0.000004130348,0.00001258305,0.00003370689,0.00000902361],"domain_scores_gemma":[0.9999043,0.00003175351,0.00003351687,0.00000620846,0.000015626,0.000008636559],"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":[0.00001548354,0.000009026963,0.0004874723,0.00002369983,0.000003016146,0.00001759735,0.00001615081,0.0007893193,0.9966279,0.0001000246,0.000008965279,0.001901475],"study_design_scores_gemma":[0.000002085535,0.0001348302,0.009912383,0.00000661944,0.000009372275,0.00009501975,0.00004039884,0.007274937,0.9816831,0.000121126,0.0007139676,0.000006122916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945605,0.001050465,0.003762592,0.00002467835,0.000007044284,0.00000271346,0.00002090158,0.00003119213,0.0005398908],"genre_scores_gemma":[0.9987144,0.0002518535,0.0007297032,0.000007351794,0.000001974057,0.000002147469,0.00001545231,0.000006428483,0.0002706125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005642105,"threshold_uncertainty_score":0.0018875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002755010332598303,"score_gpt":0.2143193863010855,"score_spread":0.2115643759684872,"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."}}