{"id":"W3083784010","doi":"10.1149/1945-7111/abb6ce","title":"Hybrid PCDTBT:PCBM:Graphene-Nanoplatelet Photoabsorbers","year":2020,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"MPB Technologies & Communications (Canada); Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Graphene; Chemical engineering; Nanocomposite; Polymer; Photoactive layer; Polymer solar cell; Thermal stability; Electron mobility; Quenching (fluorescence); Active layer; Photodegradation; Photoluminescence; Layer (electronics); Nanotechnology; Optoelectronics; Photocatalysis; Fluorescence; Composite material; Chemistry; Organic chemistry; Optics","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":[0.0001010986,0.0004596508,0.0002105509,0.0003058921,0.0001212703,0.0002446073,0.0003050635,0.0004094783,0.001156275],"category_scores_gemma":[0.0001461889,0.0001248352,0.000172486,0.0002674555,0.0001256958,0.0002540123,0.0001871996,0.0002651335,0.0003761721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193881,"about_ca_system_score_gemma":0.00007402582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005679687,"about_ca_topic_score_gemma":0.001155749,"domain_scores_codex":[0.9998478,0.00001028925,0.000006387034,0.00004424999,0.00005567315,0.00003552793],"domain_scores_gemma":[0.9998914,0.00002571214,0.00003522483,0.00001075797,0.00002076438,0.00001613492],"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":[0.00001737371,0.000008153686,0.00004178645,0.00002515321,0.000003360344,0.00002013305,0.000004886633,0.00007560677,0.9992095,0.00001776749,0.00002039537,0.0005558495],"study_design_scores_gemma":[0.000002842862,0.00004800969,0.0005143004,0.000001652799,0.000004555058,0.00003513623,0.000004579153,0.00056995,0.9984252,0.00000708068,0.00038409,0.000002569282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937517,0.001039057,0.003987422,0.00004921425,0.00003151942,0.0000219734,0.0002687639,0.0001568878,0.0006935268],"genre_scores_gemma":[0.9904873,0.0005481846,0.006634432,0.00004504797,0.00001103009,0.00002863491,0.0002160161,0.00003648966,0.001992825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156275,"threshold_uncertainty_score":0.003868103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005521317015593927,"score_gpt":0.1827410010209916,"score_spread":0.1772196840053976,"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."}}