{"id":"W2317071851","doi":"10.1021/nn404397d","title":"Automated Synthesis of Photovoltaic-Quality Colloidal Quantum Dots Using Separate Nucleation and Growth Stages","year":2013,"lang":"en","type":"article","venue":"ACS Nano","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Photovoltaics; Nucleation; Materials science; Quantum dot; Photoluminescence; Nanotechnology; Photovoltaic system; Nanocrystal; Nanoparticle; Optoelectronics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004195049,0.0004795182,0.0004866873,0.0003149024,0.0002836117,0.0005770983,0.0005131872,0.000456605,0.0006257971],"category_scores_gemma":[0.00048976,0.0005673465,0.0004082947,0.0001992943,0.0003499483,0.0005976386,0.0003394781,0.0006358039,0.0003213382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008435661,"about_ca_system_score_gemma":0.0006175052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513231,"about_ca_topic_score_gemma":0.003568364,"domain_scores_codex":[0.999746,0.00002831322,0.00002100728,0.00009846724,0.00008394925,0.00002228931],"domain_scores_gemma":[0.9997968,0.0000990105,0.00004227236,0.00002645047,0.00002423471,0.00001122525],"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":[0.00004126546,0.00003962961,0.0001749743,0.00006006397,0.000008490034,0.00001829388,0.00001617721,0.001528873,0.993196,0.0005278489,0.00005683029,0.004331536],"study_design_scores_gemma":[0.0000204908,0.00006687856,0.0001856001,0.000001802395,0.000006182327,0.00002375728,0.000002752188,0.01392979,0.98507,0.00007611231,0.0006063782,0.00001021508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447734,0.0008553961,0.150377,0.0001184402,0.00006071584,0.0002642346,0.0004698328,0.0009730817,0.002107907],"genre_scores_gemma":[0.8103362,0.0004982283,0.1871179,0.00003190551,0.00001776222,0.0002090228,0.0002833704,0.0001113481,0.00139431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001513231,"threshold_uncertainty_score":0.006120563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007724825764842,"score_gpt":0.2767931269776761,"score_spread":0.2467158787200277,"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."}}