{"id":"W2619426754","doi":"10.1021/acsenergylett.7b00194","title":"Stabilities Related to Near-Infrared Quantum Dot-Based Solar Cells: The Role of Surface Engineering","year":2017,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum dot; Realization (probability); Nanotechnology; Materials science; Photovoltaic system; Stability (learning theory); Energy conversion efficiency; Degradation (telecommunications); Optoelectronics; Process engineering; Computer science; Engineering; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200329,0.0001852707,0.0002482287,0.00003277648,0.0004289028,0.0002924443,0.0008201792,0.00006460646,0.0001346973],"category_scores_gemma":[0.0001708829,0.0001275193,0.00007995665,0.00005594131,0.0002439091,0.0002215381,0.0001342587,0.00008564512,0.00004217877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954151,"about_ca_system_score_gemma":0.00005363753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932261,"about_ca_topic_score_gemma":0.00002851025,"domain_scores_codex":[0.9986829,0.0001030184,0.0003183743,0.0002658729,0.0002779962,0.0003518465],"domain_scores_gemma":[0.9985077,0.0002257765,0.0001677026,0.0009798657,0.00005048812,0.00006849593],"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":[0.00003354768,0.00001390809,0.0001690456,0.00001684864,0.00001193391,0.000002423068,0.0006604805,0.03343142,0.9636552,0.00129719,0.0004719288,0.0002360897],"study_design_scores_gemma":[0.0001164036,0.00004069667,0.0003520414,0.00004974715,0.00001271917,7.37131e-7,0.0001690957,0.008047555,0.9636023,0.0001257283,0.02729453,0.0001884494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996145,0.0002539806,0.0001407094,0.002548692,0.0004400881,0.0000778003,0.00002030682,0.00006911989,0.0003042885],"genre_scores_gemma":[0.9985209,0.00001440679,0.0006789104,0.000595667,0.00003147976,0.00001437556,0.000001716041,0.00003155586,0.0001110631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0268226,"threshold_uncertainty_score":0.5200085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009051811361971545,"score_gpt":0.1941568613391554,"score_spread":0.1851050499771838,"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."}}