{"id":"W4388767258","doi":"10.1021/acs.chemmater.3c02449","title":"Morphogenesis of Biogenic Phenolic Mesocrystals Mediated by Competitive Intermolecular Interactions","year":2023,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Young Scientists Fund; State Key Laboratory of Polymer Materials Engineering; National Natural Science Foundation of China; Sichuan University; Sichuan Provincial Postdoctoral Science Foundation","keywords":"Crystallization; Intermolecular force; Nanotechnology; Morphogenesis; Molecule; Materials science; Self-assembly; Chemistry; Chemical physics; Chemical engineering; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000345035,0.0001519169,0.0003410007,0.00006480436,0.00003866857,0.00002865674,0.0001989331,0.00009840669,0.005868985],"category_scores_gemma":[0.0001514617,0.0001565666,0.00008872363,0.0002699251,0.0001963976,0.00008756336,0.000117042,0.00003884537,0.0001006883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003994604,"about_ca_system_score_gemma":0.00003457306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002778909,"about_ca_topic_score_gemma":6.284183e-7,"domain_scores_codex":[0.9986519,0.00009223448,0.0005854582,0.0002441497,0.0002358713,0.0001903785],"domain_scores_gemma":[0.9990706,0.00007205821,0.00037226,0.0002447063,0.0001741185,0.0000662346],"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":[0.00003483453,0.00004953056,0.000005106069,0.0002261775,0.0000204299,0.000003349603,0.0001331984,0.00000867784,0.9968682,0.00005087904,0.00258849,0.00001115236],"study_design_scores_gemma":[0.0003325233,0.00001509798,0.0000474798,0.000113133,0.00002436816,0.000007428222,0.0002884194,0.00001436968,0.997426,0.0000718159,0.001522229,0.0001370952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949418,0.0000585463,0.000151139,0.00008347225,0.0002192993,0.0001196453,0.002018256,0.000117838,0.002289983],"genre_scores_gemma":[0.9982485,0.00005731436,0.00004937654,0.00003457731,0.00004634793,0.00002134247,0.001275612,0.00002523578,0.0002416822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005768297,"threshold_uncertainty_score":0.9950398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207751317729216,"score_gpt":0.243604760711607,"score_spread":0.2315272475343148,"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."}}