{"id":"W4388892422","doi":"10.1021/acsami.3c16659","title":"Synthesis of Chiral Triazine Frameworks for Enantiodiscrimination","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Iran Science Elites Federation; Iran National Science Foundation","keywords":"Enantiomer; Melamine; Monomer; Triazine; Cyanuric chloride; Chirality (physics); Materials science; Combinatorial chemistry; Racemic mixture; Chemistry; Polymer chemistry; Stereochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009011311,0.0005114317,0.0002003727,0.0002251025,0.000145401,0.0002606339,0.000374832,0.0002628092,0.001078632],"category_scores_gemma":[0.0001291034,0.0001749904,0.0002292744,0.0001784807,0.0001769828,0.0002187558,0.0003107151,0.0004260456,0.0004197691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503965,"about_ca_system_score_gemma":0.0002017722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006331698,"about_ca_topic_score_gemma":0.001582167,"domain_scores_codex":[0.9999171,0.00000849405,0.00000351413,0.00001986558,0.0000240229,0.00002699182],"domain_scores_gemma":[0.9999474,0.000005892449,0.00001462242,0.00000628156,0.00000790934,0.00001787211],"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":[0.00002845978,0.00001783886,0.00005242042,0.00006072113,0.000009351569,0.0001068353,0.00002192318,0.0005120464,0.9932085,0.0008582301,0.0001215332,0.0050022],"study_design_scores_gemma":[0.00000768853,0.00008286612,0.0002839116,0.000003970289,0.000008336408,0.0001392097,0.000006658699,0.001956108,0.9933188,0.00007648522,0.004105634,0.00001033302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413932,0.003816725,0.03983786,0.0002018899,0.0001112564,0.0001196982,0.000470456,0.0007479784,0.01330102],"genre_scores_gemma":[0.9768275,0.001625352,0.0176555,0.0000649518,0.00001383844,0.00004940792,0.0002094608,0.00005835539,0.003495645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078632,"threshold_uncertainty_score":0.003608406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093034772008688,"score_gpt":0.282868511865455,"score_spread":0.2619381641453681,"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."}}