{"id":"W4387348863","doi":"10.1039/d3mh00956d","title":"Real-time correlation of crystallization and segmental order in conjugated polymers","year":2023,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China; University of Chicago; U.S. Department of Energy","keywords":"Conjugated system; Crystallization; Materials science; Polymer; Order (exchange); Chemical engineering; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108825,0.00009832805,0.0001834963,0.0001192185,0.00002378943,0.00002109248,0.00003215491,0.00006348477,0.0002123123],"category_scores_gemma":[0.00003067645,0.0001053316,0.000007691985,0.0002323152,0.00002855432,0.0001089778,0.00001921207,0.00001882831,0.00002777273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002147092,"about_ca_system_score_gemma":0.000005428865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001305115,"about_ca_topic_score_gemma":0.00000890609,"domain_scores_codex":[0.9993849,0.0000347401,0.0002603581,0.0001035604,0.00006447302,0.0001520152],"domain_scores_gemma":[0.9998065,0.00003316848,0.0000386563,0.00007756158,0.00001606752,0.00002809354],"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":[0.00001499636,0.000004220678,0.0001148267,0.00004769356,0.000007021075,0.000003084836,0.0001209371,0.03070833,0.9686207,0.0001753107,0.00004063522,0.0001423055],"study_design_scores_gemma":[0.0004455938,0.00005419508,0.007719157,0.0000850054,0.00001218809,0.000004549588,0.0001028808,0.007257906,0.9837864,0.0002170825,0.0001037864,0.0002112464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979293,0.000006929336,0.0003010161,0.000007605121,0.0003549475,0.00009398756,0.0000701141,0.0003201129,0.0009159445],"genre_scores_gemma":[0.9989071,0.0001490366,0.0004373446,0.000001767557,0.00003514913,0.00001002074,0.0002528688,0.00003177617,0.0001749132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345043,"threshold_uncertainty_score":0.4295299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007983044419016004,"score_gpt":0.2162067175684122,"score_spread":0.2082236731493962,"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."}}