{"id":"W2663247501","doi":"10.1021/acs.biochem.7b00313","title":"Functional Prioritization and Hydrogel Regulation Phenomena Created by a Combinatorial Pearl-Associated Two-Protein Biomineralization Model System","year":2017,"lang":"en","type":"article","venue":"Biochemistry","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Sciences and Engineering; Basic Energy Sciences; Medical Research Council; Memorial Sloan-Kettering Cancer Center; Engineering and Physical Sciences Research Council; York University; U.S. Department of Energy","keywords":"Biomineralization; Nucleation; Pinctada fucata; Biophysics; Chemistry; Quartz crystal microbalance; Self-healing hydrogels; Crystallography; Nanotechnology; Chemical engineering; Materials science; Pearl oyster; Adsorption; Pearl; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001279139,0.000309363,0.0002237455,0.0001372335,0.0001097933,0.0002817328,0.0003215901,0.0002801439,0.0003477595],"category_scores_gemma":[0.0001372401,0.0001238326,0.0001859656,0.0001290867,0.0001962556,0.0002620094,0.0002102817,0.0002911654,0.00008168453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861144,"about_ca_system_score_gemma":0.0001431273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125731,"about_ca_topic_score_gemma":0.0005554121,"domain_scores_codex":[0.9998862,0.00001423041,0.000007156907,0.00004059702,0.00003173359,0.00002013259],"domain_scores_gemma":[0.999908,0.00001536419,0.00003290661,0.000009376979,0.00001002338,0.00002434791],"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":[0.00002076084,0.000009559155,0.00007434833,0.00001448141,0.000003098545,0.00002029998,0.00000530073,0.0003017668,0.9991564,0.00008480852,0.000009489144,0.0002997787],"study_design_scores_gemma":[0.00001274987,0.0001155596,0.0006387917,0.000001546508,0.000008741197,0.00006609327,0.000009650043,0.008454878,0.9900681,0.00004749211,0.000570079,0.000006392368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950516,0.0001427444,0.004197615,0.00003305295,0.000005305358,0.00001849036,0.00006965444,0.00005119482,0.0004304985],"genre_scores_gemma":[0.9947085,0.0001080023,0.00469275,0.00002125095,0.000002166427,0.00003194938,0.00007460963,0.00001022036,0.0003505673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004125731,"threshold_uncertainty_score":0.002801478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220642083440439,"score_gpt":0.2227371765828323,"score_spread":0.210530755748428,"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."}}