{"id":"W4247794486","doi":"10.32920/ryerson.14643969","title":"Modifying Crystal Morphology and Framework Composition of Composition of Zeolite L (LTL) : A Co-Solvent Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Materials Research; Arnold and Mabel Beckman Initiative for Macular Research","keywords":"Zeolite; Solvent; Triethylene glycol; Ethylene glycol; Diethylene glycol; Materials science; Morphology (biology); Chemical engineering; Diffraction; Crystal (programming language); Powder diffraction; Phase (matter); Crystallography; Nanotechnology; Catalysis; Chemistry; Organic chemistry; Polymer chemistry; Computer science; Optics; 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":[0.0001034122,0.0002439445,0.0001428358,0.00017239,0.0001125167,0.0002217138,0.0001897607,0.000245608,0.0006479911],"category_scores_gemma":[0.000173825,0.0001340886,0.0002114575,0.0001593907,0.0001427008,0.0002547578,0.0002120806,0.0003172202,0.0002910508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774534,"about_ca_system_score_gemma":0.0002051694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006338403,"about_ca_topic_score_gemma":0.001973693,"domain_scores_codex":[0.9999026,0.00000745291,0.000008844339,0.00002737306,0.00003219312,0.00002151099],"domain_scores_gemma":[0.9999257,0.00001147472,0.00003010478,0.000007152633,0.00001512749,0.000010339],"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":[0.00002584968,0.000007848246,0.0001394561,0.00003797591,0.000002305904,0.0000267762,0.00001011443,0.00003802622,0.9985458,0.00004153227,0.00001281497,0.001111682],"study_design_scores_gemma":[0.00000340942,0.00004755939,0.0004967352,0.000002029716,0.000005005619,0.00004276324,0.00001000342,0.0002030345,0.9982278,0.000006504936,0.0009516079,0.000003582185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893461,0.001054301,0.007240308,0.00007628219,0.00002588025,0.0000736168,0.0002102362,0.00008611412,0.001887293],"genre_scores_gemma":[0.9878587,0.0009613452,0.008994635,0.00004009163,0.000006352988,0.00005534518,0.0001671814,0.00003360147,0.001882931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006479911,"threshold_uncertainty_score":0.002167761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682160147176665,"score_gpt":0.2673856635899307,"score_spread":0.2405640621181641,"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."}}