{"id":"W4384281966","doi":"10.1002/adma.202303528","title":"Molecular‐Additive‐Assisted Tellurium Homogenization in ZnSeTe Quantum Dots","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Photoluminescence; Quantum dot; Nucleation; Anhydrous; Aqueous solution; Spectroscopy; Absorption spectroscopy; Analytical Chemistry (journal); Chemical engineering; Nanotechnology; Optoelectronics; Physical chemistry; Organic chemistry; Chemistry","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":[0.00008112515,0.0001687036,0.000136498,0.00009443262,0.00009503264,0.0001596694,0.0001474429,0.000134339,0.0004906672],"category_scores_gemma":[0.00009683641,0.000119431,0.000121765,0.00009454715,0.0001268165,0.0001773022,0.0001569425,0.0002052392,0.0001525238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233304,"about_ca_system_score_gemma":0.0001040924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868878,"about_ca_topic_score_gemma":0.001208406,"domain_scores_codex":[0.9999473,0.00000586806,0.000004326147,0.00001545376,0.00001825071,0.000008876931],"domain_scores_gemma":[0.9999672,0.000006954378,0.00001197541,0.000004740883,0.000005755521,0.000003486738],"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":[0.0000119512,0.000006012944,0.00004090592,0.00001976015,0.000002007432,0.00001438259,0.00001124571,0.000155216,0.998701,0.0001095256,0.00001009962,0.0009179026],"study_design_scores_gemma":[0.000002246148,0.00002174507,0.0001285273,8.543616e-7,0.000001385054,0.00001103302,0.0000032625,0.0007828454,0.9985464,0.000008433968,0.000491912,0.000001206047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903396,0.0003246575,0.008294628,0.00003449809,0.0000134366,0.00002306072,0.00009093848,0.00006804394,0.0008111831],"genre_scores_gemma":[0.992431,0.0002930526,0.005625405,0.00001217573,0.000002929726,0.00001729656,0.00006842344,0.00001943562,0.001530299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004906672,"threshold_uncertainty_score":0.001692772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806933553283144,"score_gpt":0.2553380367272505,"score_spread":0.2372687011944191,"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."}}