{"id":"W3007712662","doi":"10.1039/d0sc00333f","title":"Simple, scalable mechanosynthesis of metal–organic frameworks using liquid-assisted resonant acoustic mixing (LA-RAM)","year":2020,"lang":"en","type":"article","venue":"Chemical Science","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Genentech","keywords":"Mechanosynthesis; Mixing (physics); Simple (philosophy); Scalability; Materials science; Metal-organic framework; Mechanochemistry; Metal; Nanotechnology; Chemistry; Computer science; Physics; Physical chemistry; Metallurgy; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005209225,0.0002854203,0.0005128155,0.0000582351,0.0002688693,0.0001059309,0.00125886,0.0004956896,0.00269274],"category_scores_gemma":[0.004125768,0.000252774,0.0001761785,0.001740114,0.0007742661,0.0002010332,0.0004802484,0.000728621,0.00003342016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411705,"about_ca_system_score_gemma":0.0002623722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001827247,"about_ca_topic_score_gemma":6.986579e-7,"domain_scores_codex":[0.9971145,0.00003024649,0.0006079029,0.0008537264,0.0007613671,0.0006322059],"domain_scores_gemma":[0.997612,0.00073992,0.0002978056,0.0007025953,0.0001729591,0.0004746968],"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":[0.00002107748,0.0001003693,0.00002328668,0.0001002892,0.00002139794,0.000002868542,0.00009883863,0.00003764751,0.9965495,0.0004698356,0.00005057322,0.00252429],"study_design_scores_gemma":[0.0001091861,0.00001173912,0.00001597354,0.0001684814,0.0001184285,0.00001076064,0.0001850893,0.02416504,0.9737372,0.0005074249,0.000681032,0.0002896145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546545,0.0003028447,0.04200901,0.0007491237,0.00004219846,0.0001208911,0.00002371193,0.0001523396,0.001945391],"genre_scores_gemma":[0.9858907,0.00002816475,0.01359549,0.0002524972,0.0001364452,0.00001719706,0.000004228101,0.00004224161,0.00003305169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03123619,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753956416588225,"score_gpt":0.2652171275573103,"score_spread":0.2376775633914281,"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."}}