{"id":"W2885384084","doi":"10.1021/acs.jpcc.8b06724","title":"Topochemical Polymerization of Phenylacetylene Macrocycles under Pressure","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Université Laval","funders":"Alfred P. Sloan Foundation","keywords":"Phenylacetylene; Polymerization; Materials science; Covalent bond; Carbon nanotube; Absorption (acoustics); Photochemistry; Ambient pressure; Alkyne; Thermal decomposition; Nanostructure; Chemical engineering; Chemistry; Nanotechnology; Organic chemistry; Polymer; Catalysis","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":[0.0000789981,0.0002990715,0.0001143311,0.0001622364,0.0001198945,0.0001944335,0.0001511487,0.0001343822,0.000943363],"category_scores_gemma":[0.0001420792,0.0001493536,0.0001335067,0.0001019291,0.0001765844,0.0001798431,0.0002038085,0.0002596163,0.0002769246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819983,"about_ca_system_score_gemma":0.0001415874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003558545,"about_ca_topic_score_gemma":0.0009509089,"domain_scores_codex":[0.9999187,0.000006287751,0.000005217055,0.00002233167,0.00002733542,0.00002011833],"domain_scores_gemma":[0.999926,0.00001987781,0.00002064294,0.00001006105,0.000008459275,0.00001501318],"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":[0.000006829629,0.000003759641,0.00004096461,0.00001534007,0.000001849561,0.00002412028,0.000009516062,0.00004700312,0.9990917,0.0001082336,0.00001447144,0.0006362249],"study_design_scores_gemma":[0.000003255957,0.00005049949,0.0006315188,0.000001180458,0.000002465853,0.00002892216,0.000002854395,0.0003241816,0.9982704,0.00001876542,0.0006642377,0.000001758733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921802,0.0006493957,0.003706689,0.00004941594,0.0000234546,0.00002583038,0.0001144716,0.000106874,0.003143709],"genre_scores_gemma":[0.9956131,0.0005502404,0.002013095,0.00002075175,0.00001188906,0.00001951908,0.00009106038,0.00002136962,0.001659034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000943363,"threshold_uncertainty_score":0.003155887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006807460061389192,"score_gpt":0.2436788124951442,"score_spread":0.236871352433755,"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."}}