{"id":"W4252116284","doi":"10.1002/ange.202001608","title":"Fragmentation of Magic‐Size Cluster Precursor Compounds into Ultrasmall CdS Quantum Dots with Enhanced Particle Yield at Low Temperatures","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Natural Science Foundation of China","keywords":"Nucleation; Quantum dot; Particle size; Quantum yield; Yield (engineering); Chemical physics; Materials science; Nanotechnology; Colloid; Particle (ecology); Chemical engineering; Nanoparticle; Cluster (spacecraft); Chemistry; Physical chemistry; Physics; Organic 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":[0.0001348687,0.000216849,0.000142799,0.0001279397,0.0001305769,0.0001759657,0.0001655107,0.0001925289,0.0009732165],"category_scores_gemma":[0.0002286714,0.0001423929,0.0001285262,0.00009555469,0.000199605,0.0001847939,0.0001681239,0.0002273521,0.0002567121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339171,"about_ca_system_score_gemma":0.0002073204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005674852,"about_ca_topic_score_gemma":0.001212822,"domain_scores_codex":[0.999911,0.000008896677,0.000006108879,0.00002878842,0.00002782489,0.00001745139],"domain_scores_gemma":[0.9998848,0.00003277331,0.00002395326,0.00002182111,0.00002145597,0.00001512341],"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":[0.00003084752,0.000006139957,0.00006658091,0.00002571495,0.000002700959,0.00002630112,0.00002059373,0.0001012214,0.9986482,0.000160885,0.00003532001,0.000875433],"study_design_scores_gemma":[0.000004024331,0.00001989873,0.0001958577,8.412238e-7,0.000001685845,0.00001568652,0.000002386621,0.00042543,0.9988954,0.00001502536,0.0004226093,0.00000108847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874172,0.0003806688,0.009750956,0.00005128958,0.00002095666,0.00003213093,0.00019143,0.0001216512,0.002033626],"genre_scores_gemma":[0.9922149,0.0001698767,0.005917063,0.00001991072,0.000004319172,0.00002120892,0.0001541281,0.00004611895,0.001452439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009732165,"threshold_uncertainty_score":0.003255785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012285645102645,"score_gpt":0.2298720021328578,"score_spread":0.2097491456818313,"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."}}