{"id":"W2955801710","doi":"10.1021/acsapm.9b00433","title":"Screening Quinoxaline-Type Donor Polymers for Roll-to-Roll Processing Compatible Organic Photovoltaics","year":2019,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Quinoxaline; Diimide; Materials science; Perylene; Organic solar cell; Polymer; Open-circuit voltage; Energy conversion efficiency; Chemical engineering; Polymer chemistry; Optoelectronics; Chemistry; Photochemistry; Organic chemistry; Voltage; Molecule; Composite material; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073909,0.0004450192,0.0002586907,0.0003218505,0.0001523023,0.0004014345,0.0002758861,0.0003127729,0.001382621],"category_scores_gemma":[0.0003237684,0.0001544968,0.0002053971,0.0003139332,0.0001114011,0.0002959495,0.000243871,0.0003127968,0.0004474739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625139,"about_ca_system_score_gemma":0.0001202013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663979,"about_ca_topic_score_gemma":0.0004707077,"domain_scores_codex":[0.9998364,0.00002687573,0.000008477536,0.00003764915,0.0000611975,0.00002939331],"domain_scores_gemma":[0.9998667,0.0000329173,0.00003431994,0.00001604153,0.00002298989,0.00002692912],"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":[0.00004304604,0.00006534506,0.000298406,0.00006073962,0.000005716348,0.00007306955,0.00001429322,0.000311382,0.9935706,0.00006360536,0.00004341937,0.005450442],"study_design_scores_gemma":[0.00001088708,0.0006232658,0.001450045,0.000005322682,0.00001783196,0.000170833,0.00001913938,0.0007779597,0.9950804,0.00002082605,0.001817225,0.000006302928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883035,0.002077551,0.005601622,0.00008098493,0.00001991644,0.0001820773,0.0004172313,0.0001057457,0.003211369],"genre_scores_gemma":[0.9842063,0.002146416,0.009824605,0.0000431122,0.000009939095,0.00009912236,0.0006904639,0.00003286363,0.002947121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001382621,"threshold_uncertainty_score":0.00462532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009260724112523405,"score_gpt":0.2185219884414624,"score_spread":0.209261264328939,"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."}}