{"id":"W3002745084","doi":"10.1038/s41565-019-0606-8","title":"Regioselective magnetization in semiconducting nanorods","year":2020,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Hefei Science Center, Chinese Academy of Sciences; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Magnetization; Nanorod; Spintronics; Magnetism; Materials science; Nanomaterials; Regioselectivity; Chirality (physics); Nanotechnology; Superlattice; Condensed matter physics; Magnetic field; Chemistry; Optoelectronics; Ferromagnetism; Physics; Symmetry breaking; Organic chemistry; Catalysis","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":[0.0001402547,0.0001318608,0.0001824924,0.0001627183,0.0002087744,0.0003209206,0.0002589365,0.0001646735,0.001530592],"category_scores_gemma":[0.0002417917,0.0001454306,0.00008816367,0.00008762098,0.0002373002,0.0002339606,0.000166912,0.0003024046,0.0003132119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030545,"about_ca_system_score_gemma":0.0001038376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002812074,"about_ca_topic_score_gemma":0.0007526206,"domain_scores_codex":[0.9999398,0.00001002098,0.000004468781,0.00001470532,0.00001555913,0.00001543306],"domain_scores_gemma":[0.9999033,0.00003808464,0.00001449684,0.00001826451,0.00001508868,0.00001064027],"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":[0.0001087199,0.00002444277,0.0004004487,0.00007748829,0.000005654868,0.0001137827,0.00008127024,0.0002085232,0.9927828,0.00272583,0.0003281437,0.003142812],"study_design_scores_gemma":[0.00002708718,0.0001501977,0.002215611,0.000006763257,0.000006510764,0.0001967681,0.00007050575,0.002764735,0.9914141,0.0009379368,0.002199473,0.00001037301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993759,0.0003538914,0.0006748543,0.0001093708,0.00003041637,0.00000599583,0.00005405911,0.00008016154,0.004932221],"genre_scores_gemma":[0.9984321,0.0001149677,0.0003249414,0.00002056815,0.000007919904,0.000003697351,0.00003811963,0.00002478212,0.001032912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530592,"threshold_uncertainty_score":0.005120337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430393512983028,"score_gpt":0.2333671704751919,"score_spread":0.2190632353453617,"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."}}