{"id":"W4239162750","doi":"10.26434/chemrxiv.11577561","title":"Simple, Scalable Mechanosynthesis of Metal-Organic Frameworks Using Liquid-Assisted Resonant Acoustic Mixing (LA-RAM)","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanosynthesis; Metal-organic framework; Imidazolate; Scalability; Mixing (physics); Mechanochemistry; Ligand (biochemistry); Materials science; Metal; Carboxylate; Chemistry; Nanotechnology; Physical chemistry; Inorganic chemistry; Computer science; Organic chemistry; Metallurgy; Adsorption; 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":[0.0001512819,0.0004416232,0.0002338191,0.0002601758,0.0002150837,0.0003468808,0.0004042797,0.0003217171,0.001525661],"category_scores_gemma":[0.0001649268,0.0001531275,0.0002953922,0.0001254255,0.0002880646,0.0003911369,0.0004508159,0.0007965053,0.0006034333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511747,"about_ca_system_score_gemma":0.0002382814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005287817,"about_ca_topic_score_gemma":0.001143102,"domain_scores_codex":[0.9998417,0.00001221468,0.000007106384,0.00004899931,0.00005555231,0.00003442907],"domain_scores_gemma":[0.9999511,0.00001312586,0.00001616727,0.000007567064,0.000005101366,0.000006887499],"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":[0.00001325814,0.00001474253,0.00002887463,0.0001030767,0.000004841134,0.00003969153,0.00001838978,0.0003591243,0.9903631,0.0006948338,0.00012343,0.008236724],"study_design_scores_gemma":[0.000007367142,0.00006323608,0.0001315163,0.000004948613,0.000003753249,0.00007674505,0.00001013602,0.001343239,0.9929855,0.0001395363,0.005225212,0.000008669413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776984,0.009340527,0.288092,0.0008914673,0.0002614079,0.000494495,0.001048024,0.003243463,0.01893033],"genre_scores_gemma":[0.8748753,0.001896969,0.1194014,0.0001400697,0.00004471319,0.0001968157,0.0003097191,0.0001258199,0.003009138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001525661,"threshold_uncertainty_score":0.005103886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06155832010553521,"score_gpt":0.2602060788749861,"score_spread":0.1986477587694509,"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."}}