{"id":"W2518501236","doi":"10.1021/acs.chemmater.5b02821","title":"Oscillatory Microprocessor for Growth and in Situ Characterization of Semiconductor Nanocrystals","year":2015,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada","keywords":"Nanocrystal; Nucleation; Materials science; Characterization (materials science); Semiconductor; Nanotechnology; In situ; Microreactor; Phase (matter); Microprocessor; Optoelectronics; Chemistry; Computer science; Catalysis; Organic chemistry; Computer hardware","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458422,0.0004262505,0.0004329987,0.0004867592,0.0001875033,0.0003094338,0.0005631687,0.0002100807,0.001229034],"category_scores_gemma":[0.0006337016,0.0002128013,0.000164493,0.0003849445,0.0002161329,0.0004275404,0.0002700213,0.0004284763,0.0002675838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710823,"about_ca_system_score_gemma":0.0003370554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125994,"about_ca_topic_score_gemma":0.0008814029,"domain_scores_codex":[0.9996818,0.00003600951,0.00002144065,0.000100443,0.0001387726,0.00002160366],"domain_scores_gemma":[0.9995546,0.0002315397,0.00007121109,0.00005521401,0.00006611845,0.00002130391],"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":[0.00007527319,0.00001764166,0.0002547124,0.00004090382,0.00000331065,0.00002433513,0.00003290136,0.0002043411,0.9897723,0.0002085032,0.00007342304,0.009292384],"study_design_scores_gemma":[0.00001163893,0.0001759674,0.001659409,0.000004386121,0.000009086251,0.00008975946,0.00001311889,0.01254949,0.9837864,0.00006680543,0.001621839,0.00001217825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.625744,0.0006572425,0.3696621,0.00006829624,0.0000520545,0.0002844247,0.0005552731,0.001752855,0.001223646],"genre_scores_gemma":[0.7493503,0.0005177037,0.2466227,0.00005526279,0.0000319492,0.0006626218,0.0005368557,0.0002044434,0.002018173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001229034,"threshold_uncertainty_score":0.004111588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778511847519079,"score_gpt":0.2320942204072934,"score_spread":0.2043091019321026,"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."}}