{"id":"W3090263286","doi":"10.1039/d0ta08195g","title":"Elucidating the impact of molecular weight on morphology, charge transport, photophysics and performance of all-polymer solar cells","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; University of Washington","keywords":"Polymer; Photovoltaic system; Morphology (biology); Charge (physics); Materials science; Polymer solar cell; Organic solar cell; Chemical physics; Chemical engineering; Nanotechnology; Chemistry; Composite material; Physics","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":[0.0001442869,0.0001224942,0.000294426,0.000009419537,0.00001366863,0.000006948896,0.0001453876,0.00006522881,0.0001905504],"category_scores_gemma":[0.000005414222,0.00008580984,0.00008392183,0.0000543751,0.00002948835,0.00003785902,0.00001079366,0.0001688554,6.645244e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660997,"about_ca_system_score_gemma":0.00003364733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004795249,"about_ca_topic_score_gemma":1.601295e-8,"domain_scores_codex":[0.9992995,0.00001130833,0.0003783564,0.00006138982,0.0001136575,0.0001357329],"domain_scores_gemma":[0.9995519,0.00001765944,0.000242905,0.00010034,0.0000312378,0.0000559822],"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":[0.00009054952,0.00001958954,0.00003677529,0.0002709554,0.0001315875,0.000009619922,0.0001785685,0.0007052767,0.9984696,0.000001235851,0.00006251414,0.00002374439],"study_design_scores_gemma":[0.0002789089,0.000197083,0.00004779252,0.00005101269,0.00004331883,0.00003116018,0.000007077584,0.0004641219,0.9987714,0.000006217496,0.00002679882,0.00007513883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994373,0.000285532,0.00002113193,0.00003348032,0.00004535461,0.00004030456,0.00005218115,0.000005388638,0.00007934037],"genre_scores_gemma":[0.9992856,0.0005304884,0.00002432452,0.00002804223,0.000103751,6.170103e-7,0.000003413774,0.00002071751,0.000002985091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000301786,"threshold_uncertainty_score":0.3499224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00569159502134742,"score_gpt":0.1955169639399053,"score_spread":0.1898253689185579,"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."}}