{"id":"W2778436132","doi":"10.1021/acsami.7b16112","title":"Porphyrin Antenna-Enriched BODIPY–Thiophene Copolymer for Efficient Solar Cells","year":2017,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Ministère de l'Enseignement Supérieur et de la Recherche; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Materials science; Porphyrin; Thiophene; BODIPY; Copolymer; Photochemistry; Antenna (radio); Optoelectronics; Optics; Polymer; Organic chemistry; Fluorescence; Composite material; Telecommunications","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":[0.00006362052,0.0002479912,0.0001560478,0.0001348755,0.00008393623,0.0001943845,0.0001336286,0.0001751945,0.0009506226],"category_scores_gemma":[0.00005017525,0.0001243114,0.00009304792,0.0001861235,0.00007124827,0.0001898727,0.0001449984,0.0002974476,0.0003967191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459384,"about_ca_system_score_gemma":0.00008551505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002595732,"about_ca_topic_score_gemma":0.0005686816,"domain_scores_codex":[0.9999541,0.000005391232,0.000003240873,0.000011959,0.00001558552,0.000009762232],"domain_scores_gemma":[0.9999812,0.000003144514,0.000004413133,0.00000250572,0.000003399492,0.000005323152],"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":[0.0000132299,0.000011507,0.00003330776,0.00002036061,0.000001903408,0.00001876022,0.000003480619,0.0001142373,0.9978964,0.00007798307,0.00004050681,0.001768309],"study_design_scores_gemma":[0.000008314059,0.00007361687,0.0006531415,0.000002965696,0.000006863126,0.00005891799,0.00000481866,0.002483725,0.9950272,0.00002560442,0.001651929,0.0000027588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842031,0.002516912,0.01006834,0.00009849522,0.00004070258,0.00003551401,0.0001862708,0.0002294179,0.002621164],"genre_scores_gemma":[0.9905586,0.001498844,0.005432618,0.00002307874,0.000008646642,0.00002547803,0.0001378319,0.00002637455,0.002288515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009506226,"threshold_uncertainty_score":0.003180206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956606565332926,"score_gpt":0.2199550943022999,"score_spread":0.2103890286489706,"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."}}