{"id":"W4408647884","doi":"10.1039/d5nr00520e","title":"Improving diacetylene photopolymerization in monolayers and ultrathin films","year":2025,"lang":"en","type":"article","venue":"Nanoscale","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Collaborative Innovation Center of Suzhou Nano Science and Technology; KU Leuven; Higher Education Discipline Innovation Project; Natural Science Foundation of Jiangsu Province; Fonds Wetenschappelijk Onderzoek; National Natural Science Foundation of China; Suzhou Key Laboratory of Functional Nano and Soft Materials","keywords":"Diacetylene; Photopolymer; Monolayer; Materials science; Nanotechnology; Chemical engineering; Polymerization; Composite material; Polymer","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":[0.0002017047,0.0004905454,0.000212308,0.0002774661,0.0001632237,0.0003881545,0.0002635314,0.0002422136,0.001638604],"category_scores_gemma":[0.0003594346,0.0003397022,0.0001997369,0.0003262538,0.0002467871,0.0005420917,0.000316813,0.0006842313,0.0004187087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753324,"about_ca_system_score_gemma":0.0002214745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004611843,"about_ca_topic_score_gemma":0.001330365,"domain_scores_codex":[0.999854,0.00001597572,0.00001500391,0.0000358301,0.00004545455,0.00003374659],"domain_scores_gemma":[0.9997899,0.00007294812,0.00005303492,0.00002752675,0.00003110284,0.00002547809],"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":[0.000005630264,0.000003651011,0.00002890479,0.00001988807,0.000001336711,0.000005948003,0.000007196302,0.00002348829,0.9992427,0.00003880421,0.000007515461,0.0006150483],"study_design_scores_gemma":[0.000001721196,0.00001813977,0.0004027085,0.000001351784,0.000003065667,0.00001591041,0.00000344913,0.0001697376,0.998971,0.00001007703,0.0004015275,0.000001388714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700946,0.003036563,0.02361297,0.000154664,0.00005020353,0.00006627708,0.0001459131,0.0002759428,0.002562889],"genre_scores_gemma":[0.9730061,0.003092053,0.02013089,0.00007175837,0.00002199198,0.00005685927,0.0002138374,0.0001460415,0.003260314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001638604,"threshold_uncertainty_score":0.00548166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004580723933486934,"score_gpt":0.2219235060872041,"score_spread":0.2173427821537172,"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."}}