{"id":"W4410983790","doi":"10.1002/slct.202502031","title":"Facile Synthesis of Isomeric Hexacyanopyidine Triphenylene Derivatives","year":2025,"lang":"en","type":"article","venue":"ChemistrySelect","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Centre québécois sur les matériaux fonctionnels; Ministère des relations internationales et de la Francophonie; Université du Québec à Trois-Rivières","keywords":"Triphenylene; Chemistry; Combinatorial chemistry; Organic chemistry; Molecule","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":[0.0001091697,0.0003619932,0.0002319946,0.0002800646,0.0001300606,0.0002849061,0.000309817,0.0002157261,0.002139425],"category_scores_gemma":[0.0001561188,0.000196887,0.0001397489,0.0004687979,0.000107844,0.0002500511,0.0002116178,0.0004054984,0.0007558427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025756,"about_ca_system_score_gemma":0.0002062885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004485911,"about_ca_topic_score_gemma":0.0008964857,"domain_scores_codex":[0.999871,0.00001324191,0.00001260776,0.00003088694,0.00003693554,0.00003526599],"domain_scores_gemma":[0.9998994,0.00001082188,0.00002509091,0.00001527825,0.00002490532,0.0000245008],"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":[0.00004521419,0.00003355111,0.0001072835,0.0001367212,0.00001079717,0.0001660259,0.00002958764,0.0002590043,0.9916025,0.0005280664,0.000114315,0.006966993],"study_design_scores_gemma":[0.00001516087,0.0003211355,0.00109654,0.000008254921,0.00002116352,0.0002521824,0.00001718045,0.0006562773,0.9909957,0.00006759175,0.006537724,0.00001112636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514165,0.004238079,0.02497852,0.0001356332,0.00007973358,0.0002296232,0.002231387,0.0002207894,0.01646969],"genre_scores_gemma":[0.9728382,0.002737784,0.01900154,0.00005653674,0.0000116812,0.0001025863,0.0008812234,0.00005616111,0.004314247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002139425,"threshold_uncertainty_score":0.007157087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004200038624710758,"score_gpt":0.2328117962120419,"score_spread":0.2286117575873312,"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."}}